Triple
T3158110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where or When |
E66037
|
entity |
| Predicate | isWidelyRecorded |
P22990
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Where or When, isWidelyRecorded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWidelyRecorded Context triple: [Where or When, isWidelyRecorded, true]
-
A.
isOftenRecordedWith
Indicates that one entity is frequently documented, captured, or logged at the same time as another entity.
-
B.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
C.
isFrequentlyRecorded
chosen
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
D.
hasNotableSpecimen
Indicates that an entity possesses or is associated with a specimen that is considered particularly significant, remarkable, or noteworthy.
-
E.
isNamedFor
Indicates that one entity bears its name in honor of, or derived from, another entity.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ec0da88190a83f3448ac76e98e |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.