Triple
T29545501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirikof Point |
E749618
|
entity |
| Predicate | hasNoMajorSettlement |
P165806
|
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: [Chirikof Point, hasNoMajorSettlement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoMajorSettlement Context triple: [Chirikof Point, hasNoMajorSettlement, true]
-
A.
hasNoUrbanSettlement
chosen
Indicates that the referenced area or region does not contain any urban settlements such as towns or cities.
-
B.
hasNotableSettlementRegion
Indicates that an entity has a significant or well-known settlement located within a specified geographic region.
-
C.
hasMajorSettlementRegion
Indicates that a major settlement is located within or primarily associated with a particular geographic region.
-
D.
hasNoMajorCultCenters
Indicates that the associated entity lacks any significant or widely recognized primary places of worship or veneration.
-
E.
hasMajorSettlementsType
Indicates that an entity is associated with major settlements of a specified type (e.g., cities, towns, villages).
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: April 28, 2026, 5:07 p.m.