Triple
T23682905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanramachi |
E585078
|
entity |
| Predicate | partnerMunicipality |
P9362
|
FINISHED |
| Object | Certaldo |
—
|
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: Certaldo | Statement: [Kanramachi, partnerMunicipality, Certaldo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerMunicipality Context triple: [Kanramachi, partnerMunicipality, Certaldo]
-
A.
hasMunicipalPartnershipWith
chosen
Indicates a formal cooperative or collaborative relationship established between two municipalities, typically involving shared projects, services, or governance initiatives.
-
B.
councilPartner
Indicates a formal collaborative relationship in which an entity serves as a partner within or to a council.
-
C.
servesAsMunicipalAuthorityFor
Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
-
D.
partnerTown
Indicates that two towns are formally linked through a partnership or twinning relationship, often for cultural, economic, or administrative cooperation.
-
E.
isMunicipalSectorOf
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f93dd081909040ff117a82b87e |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:51 p.m.