Triple
T2332038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Airlines Flight 93 |
E44223
|
entity |
| Predicate | operatorICAOCode |
P26821
|
FINISHED |
| Object | UAL |
E47888
|
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: UAL | Statement: [United Airlines Flight 93, operatorICAOCode, UAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UAL Context triple: [United Airlines Flight 93, operatorICAOCode, UAL]
-
A.
UAL
chosen
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
-
B.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
C.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
D.
UA
UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
-
E.
UA
UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66bd0f08190aad5f640cfa1c372 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae89773c88819087a294d7c0f90f73 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:51 p.m.