Triple
T2411413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKBO |
E52197
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal 1 |
E52200
|
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 1 | Statement: [SKBO, hasTerminal, Terminal 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 1 Context triple: [SKBO, hasTerminal, Terminal 1]
-
A.
Terminal 1
chosen
Terminal 1 is the main passenger terminal at El Dorado International Airport in Bogotá, Colombia, handling the majority of the airport’s domestic and international flights.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Nice Côte d’Azur Airport, serving a variety of international and domestic flights on the French Riviera.
-
C.
Terminal 1
Terminal 1 is a major domestic passenger terminal at Melbourne Airport primarily serving Australian airlines and internal flights.
-
D.
Terminal 1
Terminal 1 is one of the passenger terminals at Mehrabad International Airport in Tehran, Iran, serving domestic air traffic.
-
E.
Terminal 1
Terminal 1 is the main passenger terminal at Lanzarote Airport, handling the majority of the island’s commercial flights and traveler services.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc928fd608190885fcde6746a06bc |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3be86dc8190af185bac9554e7d6 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 6, 2026, 9:41 p.m.