Triple
T15661523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 3 |
E376576
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Terminal 2 |
unclear NED1
|
NE FINISHED |
How this triple was built (2 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: [Terminal 3, connectedTo, Terminal 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Context triple: [Terminal 3, connectedTo, Terminal 2]
-
A.
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.
-
B.
Terminal 2
Terminal 2 is a major passenger terminal at Indira Gandhi International Airport in Delhi, India, handling domestic flight operations.
-
C.
Terminal 2
Terminal 2 is a major passenger terminal at Munich Airport, primarily serving Lufthansa and its Star Alliance partners with modern facilities and efficient transfer connections.
-
D.
Terminal 2
Terminal 2 is the main international passenger terminal at Addis Ababa Bole International Airport, handling most of the airport’s long-haul and connecting flights.
-
E.
Terminal 2
Terminal 2 is a major passenger terminal at Changsha Huanghua International Airport, serving as one of the airport’s primary facilities for domestic and international flights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed6f50c81909d87ced263064f0d |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.