Triple
T27546570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Express Helicopters |
E695377
|
entity |
| Predicate | operatorOfAccidentAircraft |
P195763
|
FINISHED |
| Object | helicopter in 2020 Calabasas crash |
—
|
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: helicopter in 2020 Calabasas crash | Statement: [Island Express Helicopters, operatorOfAccidentAircraft, helicopter in 2020 Calabasas crash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorOfAccidentAircraft Context triple: [Island Express Helicopters, operatorOfAccidentAircraft, helicopter in 2020 Calabasas crash]
-
A.
accidentInvolvedAircraft
Indicates that an aircraft was directly involved in an accident or incident.
-
B.
aircraftAccident
Indicates that an event involves an aircraft experiencing an accident, such as a crash, collision, or serious malfunction during operation.
-
C.
missionAccident
Indicates that an accident or unintended harmful event occurred during the course of a mission or operation.
-
D.
principalOperatorAtTimeOfAccident
Indicates that an entity was the main person operating or controlling something at the specific time when an accident occurred.
-
E.
accidentAirport
Indicates the airport at which an accident involving the subject entity occurred.
- F. None of above. chosen
Provenance (4 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: April 27, 2026, 1:33 p.m.