Triple
T35425860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Trinidad |
E1023918
|
entity |
| Predicate | containsSettlementPattern |
P4293
|
FINISHED |
| Object | coastal towns |
—
|
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: coastal towns | Statement: [Southern Trinidad, containsSettlementPattern, coastal towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSettlementPattern Context triple: [Southern Trinidad, containsSettlementPattern, coastal towns]
-
A.
hasHumanSettlementCharacteristic
Indicates that a human settlement possesses a specified characteristic, quality, or feature.
-
B.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
C.
settlementPattern
chosen
Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
-
D.
hasTraditionalSettlementType
Indicates that an entity is associated with a specific traditional or historically established type of human settlement (e.g., village, town, hamlet).
-
E.
hasHumanSettlementDependency
Indicates that one human settlement relies on or is dependent upon another settlement for certain functions, resources, or services.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.