Triple
T36794891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aires Flight 8250 |
E909155
|
entity |
| Predicate | timeOfAccidentTimezone |
P109
|
FINISHED |
| Object | UTC−05:00 |
—
|
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: UTC−05:00 | Statement: [Aires Flight 8250, timeOfAccidentTimezone, UTC−05:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfAccidentTimezone Context triple: [Aires Flight 8250, timeOfAccidentTimezone, UTC−05:00]
-
A.
injuryOccurredAt
Indicates that an injury took place at a specific location or during a particular event or time.
-
B.
routeAtTimeOfAccident
Indicates that a specific route is associated with the time at which an accident occurred.
-
C.
timeZoneOfVenue
Indicates the time zone in which the specified venue is located or operates.
-
D.
flagAtTimeOfAccident
Indicates that a particular flag or status was in effect at the specific time when the accident occurred.
-
E.
locatedInTimeZone
chosen
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 3, 2026, 4:12 p.m.