Triple
T3372330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindbergh Field |
E70982
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal 1 |
E32612
|
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: [Lindbergh Field, hasTerminal, Terminal 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 1 Context triple: [Lindbergh Field, hasTerminal, Terminal 1]
-
A.
Terminal 1
Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Paris Charles de Gaulle Airport, known for its distinctive circular design and central location within the airport complex.
-
C.
Terminal 1
chosen
Terminal 1 is one of the main passenger terminals at San Diego International Airport, serving various domestic airline operations and traveler amenities.
-
D.
Terminal 1
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.
-
E.
Terminal 1
Terminal 1 is the main passenger terminal at Berlin Brandenburg Airport, handling the majority of the airport’s check-in, security, and boarding 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bc9bc881908b22edd631a1c110 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3342cf54081909d47876ff4ad4e81 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.