Triple
T1228500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TJSJ |
E26380
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal A |
E26381
|
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 A | Statement: [TJSJ, hasTerminal, Terminal A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal A Context triple: [TJSJ, hasTerminal, Terminal A]
-
A.
Terminal A
chosen
Terminal A is one of the main passenger terminals at Luis Muñoz Marín International Airport in San Juan, Puerto Rico, serving commercial airline operations and traveler services.
-
B.
Terminal A
Terminal A is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving specific flights and airlines within the airport’s terminal complex.
-
C.
Terminal A
Terminal A is one of the main passenger terminals at San Jose International Airport, serving airline check-in, security, boarding gates, and baggage claim for departing and arriving travelers.
-
D.
Terminal A
Terminal A is one of the passenger terminals at Boston Logan International Airport, serving as a hub for several domestic and international airline operations.
-
E.
Terminal A
Terminal A is one of the main passenger terminals at Sacramento International Airport, serving airline check-in, security, boarding gates, and baggage claim operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3c5d4c819087f9e9e37204c3be |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93bf346081908a36a25b6616009a |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.