Triple
T36377299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unoshima |
E895937
|
entity |
| Predicate | hasSurroundingMunicipality |
P33892
|
FINISHED |
| Object | Fujikawaguchiko |
—
|
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: Fujikawaguchiko | Statement: [Unoshima, hasSurroundingMunicipality, Fujikawaguchiko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingMunicipality Context triple: [Unoshima, hasSurroundingMunicipality, Fujikawaguchiko]
-
A.
neighbouringMunicipality
chosen
Indicates that one municipality directly borders and is adjacent to another municipality.
-
B.
hasMunicipalityBoundaryRole
Indicates that an entity participates in or is assigned a specific role related to the boundary of a municipality (such as defining, managing, or being affected by that boundary).
-
C.
borderedByUrbanMunicipality
Indicates that one entity shares a boundary with an urban municipality.
-
D.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
E.
hasMunicipalRelationshipWith
Indicates a formal or functional connection between two municipalities, such as cooperation, partnership, or administrative association.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:10 p.m.