Triple
T25342022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean Air Lines Flight 007 shootdown |
E635436
|
entity |
| Predicate | timeOfIncident |
P58129
|
FINISHED |
| Object | around 18:26 UTC |
—
|
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: around 18:26 UTC | Statement: [Korean Air Lines Flight 007 shootdown, timeOfIncident, around 18:26 UTC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfIncident Context triple: [Korean Air Lines Flight 007 shootdown, timeOfIncident, around 18:26 UTC]
-
A.
injuryOccurredAt
Indicates that an injury took place at a specific location or during a particular event or time.
-
B.
timeOfInitiation
Indicates the specific point in time at which an action, event, or process begins.
-
C.
attackDate
Indicates the calendar date on which an attack or assault event took place.
-
D.
eventOccurredAt
chosen
Indicates that a particular event took place at a specific time or location.
-
E.
dateOfAccidentInvestigated
Indicates that a specific accident has been examined or investigated on a particular date.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 1:32 p.m.