Triple
T23172523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Hare of Inaba |
E578895
|
entity |
| Predicate | periodFirstRecorded |
P6054
|
FINISHED |
| Object | early 8th century |
—
|
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: early 8th century | Statement: [White Hare of Inaba, periodFirstRecorded, early 8th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodFirstRecorded Context triple: [White Hare of Inaba, periodFirstRecorded, early 8th century]
-
A.
historicallyRecordedSince
chosen
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
B.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
C.
firstRecordedWith
Indicates that an entity’s earliest known or documented occurrence is associated with a specified context, source, or accompanying entity.
-
D.
recordedInPeriodStart
Indicates that an event or record began or was first documented at the start of a specified time period.
-
E.
firstRecordedEditionYear
Indicates the calendar year in which the first recorded edition of a work was published or documented.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f30ce148190a6de928c8213399e |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:04 p.m.