Triple
T2332027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Airlines Flight 93 |
E44223
|
entity |
| Predicate | crashLongitudeApprox |
P1282
|
FINISHED |
| Object | -78.905 |
—
|
LITERAL 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: -78.905 | Statement: [United Airlines Flight 93, crashLongitudeApprox, -78.905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crashLongitudeApprox Context triple: [United Airlines Flight 93, crashLongitudeApprox, -78.905]
-
A.
coordinateLongitude
chosen
Indicates the east–west geographic position of an entity on the Earth’s surface, expressed as a longitude value.
-
B.
coordinateLatitude
Indicates the north–south geographic position of an entity on the Earth’s surface, expressed as a latitude coordinate.
-
C.
colongitude
Indicates the angular distance of a point (typically on a rotating body) measured westward from a defined prime meridian, often used to specify its position relative to the body’s rotation or illumination.
-
D.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
E.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
- F. None of above.
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_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.