Triple
T24626694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manipa language |
E609559
|
entity |
| Predicate | geographicGroup |
P5147
|
FINISHED |
| Object | Central Maluku Islands |
—
|
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: Central Maluku Islands | Statement: [Manipa language, geographicGroup, Central Maluku Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicGroup Context triple: [Manipa language, geographicGroup, Central Maluku Islands]
-
A.
regionalGrouping
chosen
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
B.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
C.
geographicDivision
Indicates that one place is an administrative or territorial subdivision of another place.
-
D.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
geographicalOrganisation
Indicates that one entity is organized, structured, or divided according to the geographic regions or locations defined by another entity.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.