Triple
T8369213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VVNB |
E197410
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object |
Terminal 2
Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
|
E729417
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Terminal 2 | Statement: [VVNB, hasTerminal, Terminal 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Context triple: [VVNB, hasTerminal, Terminal 2]
-
A.
Terminal 2
Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
-
B.
Terminal 2
Terminal 2 is one of the main passenger terminals at Ontario International Airport in Southern California, serving domestic airline operations and traveler services.
-
C.
Terminal 2
Terminal 2 is one of the passenger terminals at Chicago O'Hare International Airport, serving various domestic and regional flights with multiple concourses and airline operations.
-
D.
Terminal 2
Terminal 2 is a secondary passenger terminal at Lisbon’s Humberto Delgado Airport, mainly serving low-cost and regional airlines.
-
E.
Terminal 2
Terminal 2 is one of the main passenger terminals at Oakland International Airport, serving commercial airline flights and associated traveler services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terminal 2 Triple: [VVNB, hasTerminal, Terminal 2]
Generated description
Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Target entity description: Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
-
A.
Terminal 2
Terminal 2 is one of the passenger terminals at Birmingham Airport, serving as a facility for check-in, security, boarding, and arrivals operations.
-
B.
Terminal 2
Terminal 2 is one of the main passenger terminals at Hamburg Airport, handling check-in, security, and boarding for various domestic and international flights.
-
C.
Terminal 2
Terminal 2 is one of the main passenger terminals at Zurich Airport, handling a significant share of the airport’s check-in, security, and boarding operations.
-
D.
Terminal 2
Terminal 2 is one of the main passenger terminals at Adolfo Suárez Madrid–Barajas Airport, serving numerous domestic and international flights with check-in, boarding, and baggage facilities.
-
E.
Terminal 2
Terminal 2 is one of the main passenger terminals at Beijing Capital International Airport, serving numerous domestic and international flights with extensive check-in, boarding, and passenger facilities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808f7c0481909fef5834cb6e7a3e |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7d0a6d081909ffe138f80605992 |
completed | April 2, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69cdeb2209908190a9c2b7258295561e |
completed | April 2, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdec53410c8190b4c5e412922801dd |
completed | April 2, 2026, 4:10 a.m. |
Created at: March 30, 2026, 6:01 p.m.