Triple
T37067740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opglabbeek |
E917493
|
entity |
| Predicate | hasMunicipalFusionPartner |
P197615
|
FINISHED |
| Object | Meeuwen-Gruitrode |
—
|
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: Meeuwen-Gruitrode | Statement: [Opglabbeek, hasMunicipalFusionPartner, Meeuwen-Gruitrode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalFusionPartner Context triple: [Opglabbeek, hasMunicipalFusionPartner, Meeuwen-Gruitrode]
-
A.
hasMunicipalPartnershipWith
Indicates a formal cooperative or collaborative relationship established between two municipalities, typically involving shared projects, services, or governance initiatives.
-
B.
hasCityPartner
Indicates that two cities are formally linked through a partnership, such as a sister-city or twinning relationship.
-
C.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
D.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
E.
hasJointVenturePartner
Indicates that an entity is engaged in a joint venture relationship with another entity as a formal business partner.
- F. None of above. chosen
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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 3, 2026, 4:14 p.m.