Triple
T38154435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Moncton |
E952844
|
entity |
| Predicate | historicalTimeChangesRecorded |
P12951
|
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: [America/Moncton, historicalTimeChangesRecorded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalTimeChangesRecorded Context triple: [America/Moncton, historicalTimeChangesRecorded, true]
-
A.
historicalOffsetChanges
chosen
Indicates that the relationship captures past changes in an offset value between entities, including when and how that offset was modified over time.
-
B.
historicalModification
Indicates that one entity has altered, updated, or otherwise changed another entity at some point in the past, with the modification recorded as part of its history.
-
C.
historicalRecord
Indicates that there exists a documented account or record capturing information about an entity, event, or relationship from the past.
-
D.
historicallyRecordedSince
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
E.
changesTimeline
Indicates that one entity alters, restructures, or otherwise affects the sequence or scheduling of events associated with 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0207a1272c81909dcdb6e3307702f5 |
completed | May 11, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a0205fa1e608190829fd2baa0434fff |
completed | May 11, 2026, 4:38 p.m. |
Created at: May 3, 2026, 4:21 p.m.