Triple
T26772594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbojo people |
E670018
|
entity |
| Predicate | hasDemographicConcentration |
P70368
|
FINISHED |
| Object | Bima Regency |
—
|
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: Bima Regency | Statement: [Mbojo people, hasDemographicConcentration, Bima Regency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemographicConcentration Context triple: [Mbojo people, hasDemographicConcentration, Bima Regency]
-
A.
hasPopulationConcentrationIn
chosen
Indicates that a population is densely or significantly clustered within a specified geographic area or region.
-
B.
hasDemographicCenter
Indicates that an entity has a primary geographic location where the majority or core concentration of its associated population or demographic group is found.
-
C.
hasDemographicPresenceIn
Indicates that a particular demographic group exists or is represented within a specified geographic area or population context.
-
D.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
E.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 4:03 a.m.