Triple
T5917366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 1 |
E131612
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Terminal 3 |
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 3 | Statement: [Terminal 1, connectedTo, Terminal 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 3 Context triple: [Terminal 1, connectedTo, Terminal 3]
-
A.
Terminal 3
Terminal 3 is the main international passenger terminal at José Martí International Airport in Havana, Cuba, handling most long-haul and major airline operations.
-
B.
Terminal 3
Terminal 3 is one of the main passenger terminals at Fort Lauderdale–Hollywood International Airport, serving various domestic and international airline operations.
-
C.
Terminal 3
Terminal 3 is one of the main domestic passenger terminals at Melbourne Airport, serving several Australian airlines and routes.
-
D.
Terminal 3
Terminal 3 is the main passenger terminal at Vienna International Airport, handling a large share of the airport’s check-in, security, and boarding operations.
-
E.
Terminal 3
Terminal 3 is the domestic passenger terminal at Sydney Kingsford Smith Airport primarily serving Qantas and its regional affiliates.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c01ddd30819088571c5b56dbae83 |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.