Triple
T35302608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RW (Rintek Wuuk) |
E1019542
|
entity |
| Predicate | geographicOriginDetail |
P103556
|
FINISHED |
| Object | Minahasa region |
—
|
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: Minahasa region | Statement: [RW (Rintek Wuuk), geographicOriginDetail, Minahasa region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicOriginDetail Context triple: [RW (Rintek Wuuk), geographicOriginDetail, Minahasa region]
-
A.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
B.
hasTypicalGeographicOrigin
chosen
Indicates that an entity is commonly or characteristically associated with originating from a particular geographic location.
-
C.
geologicalOriginRegion
Indicates the geographic region from which a geological feature, material, or formation originally derives.
-
D.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
E.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:03 p.m.