Triple
T18068260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki-ku |
E432349
|
entity |
| Predicate | neighboringWard |
P45005
|
FINISHED |
| Object | Saiwai-ku |
—
|
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: Saiwai-ku | Statement: [Kawasaki-ku, neighboringWard, Saiwai-ku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringWard Context triple: [Kawasaki-ku, neighboringWard, Saiwai-ku]
-
A.
hasNeighbouringWard
chosen
Indicates that one ward is directly adjacent to or borders another ward geographically.
-
B.
neighbouringMunicipality
Indicates that one municipality directly borders and is adjacent to another municipality.
-
C.
neighboringRegion
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
-
D.
neighboringTo
Indicates that one entity is located directly adjacent or very close to another entity, sharing a common boundary or immediate vicinity.
-
E.
neighboringFamily
Indicates that one family lives next to or very close to another family, forming a direct neighborhood relationship.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.