Triple
T29452885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogōchi Dam |
E747021
|
entity |
| Predicate | submergedFormerSettlement |
P120490
|
FINISHED |
| Object | Ogōchi village |
—
|
NE NERFINISHED |
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: Ogōchi village | Statement: [Ogōchi Dam, submergedFormerSettlement, Ogōchi village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: submergedFormerSettlement Context triple: [Ogōchi Dam, submergedFormerSettlement, Ogōchi village]
-
A.
hasSubmergedArchaeologicalRemains
Indicates that an entity contains or is associated with archaeological remains that are located underwater or below a water surface.
-
B.
inundatedSettlement
chosen
Indicates that a settlement has been flooded or submerged by water, either partially or completely.
-
C.
submerged
Indicates that one entity is located beneath the surface of a liquid or other surrounding medium, typically fully covered by it.
-
D.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
E.
coastalSettlementOf
Indicates a relationship where a settlement is located on or near the coast of a specified geographic area or body of water.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b69acc08190b571a81fb53cf718 |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:34 p.m.