Triple
T746937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 4 (LAX) |
E15362
|
entity |
| Predicate | servesAirline |
P12356
|
FINISHED |
| Object | American Eagle |
E3508
|
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: American Eagle | Statement: [Terminal 4 (LAX), servesAirline, American Eagle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Eagle Context triple: [Terminal 4 (LAX), servesAirline, American Eagle]
-
A.
American Eagle (brand)
chosen
American Eagle is the regional airline brand for American Airlines, operating shorter domestic and nearby international flights through a network of affiliated carriers.
-
B.
Macy's
Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
-
C.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
D.
Dick's Sporting Goods
Dick's Sporting Goods is a major American retail chain specializing in sporting goods, apparel, footwear, and outdoor equipment.
-
E.
Nordstrom
Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62ca1d081908e3191411f86498d |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e664e4819081badaf0ba0d86e5 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.