Triple
T8246503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | demon core |
E192861
|
entity |
| Predicate | yearOfFirstAccident |
P43898
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [demon core, yearOfFirstAccident, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstAccident Context triple: [demon core, yearOfFirstAccident, 1945]
-
A.
injuryYear
Indicates the year in which an injury occurred or was recorded for the entity.
-
B.
notableAccidentYear
chosen
Indicates the year in which a notable accident involving the subject occurred.
-
C.
firstCollisionsYear
Indicates the year in which the first collisions or interaction events occurred between the relevant entities.
-
D.
involvedInAccident
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
E.
firstCrashDate
Indicates the date on which the first crash or failure event occurred for the entity in question.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.