Triple
T24800806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōyashima |
E620516
|
entity |
| Predicate | timeOfFirstAttestation |
P7428
|
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: [Ōyashima, timeOfFirstAttestation, early 8th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFirstAttestation Context triple: [Ōyashima, timeOfFirstAttestation, early 8th century]
-
A.
timeOfAttestation
chosen
Indicates the specific time at which a statement, document, or claim is formally attested or verified.
-
B.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
-
C.
firstSignalReceivedDate
Indicates the date on which an entity first received a particular signal.
-
D.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
E.
firstTakenAt
Indicates the time or date at which something was initially taken, captured, or recorded for the first time.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f412a9b64881908ed86b9c9b044635 |
completed | May 1, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:49 a.m.