Triple
T37364850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Nanotechnology National Laboratory |
E927683
|
entity |
| Predicate | nearbyRegionAssociation |
P55639
|
FINISHED |
| Object | Campinas region |
E298523
|
NE 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: Campinas region | Statement: [Brazilian Nanotechnology National Laboratory, nearbyRegionAssociation, Campinas region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyRegionAssociation Context triple: [Brazilian Nanotechnology National Laboratory, nearbyRegionAssociation, Campinas region]
-
A.
nearbyRegionCharacterizedBy
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
-
B.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
C.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
-
D.
featuresRegionalProximity
chosen
Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
-
E.
hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
- F. None of above.
Provenance (4 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406ce90cc48190be4d50df5faec992 |
completed | June 28, 2026, 12:38 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 3, 2026, 4:16 p.m.