Triple
T33384545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sannai-Maruyama archaeological site |
E854875
|
entity |
| Predicate | endOfOccupation |
P68301
|
FINISHED |
| Object | c. 2300 BCE |
—
|
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: c. 2300 BCE | Statement: [Sannai-Maruyama archaeological site, endOfOccupation, c. 2300 BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfOccupation Context triple: [Sannai-Maruyama archaeological site, endOfOccupation, c. 2300 BCE]
-
A.
occupationEnd
chosen
Indicates the point in time or event at which an entity’s role, job, or position comes to an end.
-
B.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
-
C.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
D.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
E.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:35 a.m.