Triple
T16576522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T2 |
E402725
|
entity |
| Predicate | alsoKnownAs |
P39
|
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: [T2, alsoKnownAs, Terminal 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2 Context triple: [T2, alsoKnownAs, Terminal 2]
-
A.
Terminal 2
Terminal 2 is a modern, sustainably designed passenger terminal at San Francisco International Airport known for its upgraded amenities, art installations, and improved traveler experience.
-
B.
Terminal 2
Terminal 2 is the modern international passenger terminal at Nội Bài International Airport in Hanoi, Vietnam, serving most of the airport’s international flights.
-
C.
Terminal 2
Terminal 2 is the main, modern passenger terminal at Shanghai Hongqiao International Airport, handling the majority of the airport’s domestic and some international flights.
-
D.
Terminal 2
Terminal 2 is a secondary passenger terminal at Kota Kinabalu International Airport in Sabah, Malaysia, serving regional and low-cost airline operations.
-
E.
Terminal 2
Terminal 2 is one of the passenger terminals serving Iași International Airport in Romania, handling check-in, departures, and arrivals for commercial 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eecbb6c81908abc5659333a4879 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.