Triple
T29508356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashi Ward Office |
E748578
|
entity |
| Predicate | administrativeDivisionServed |
P73151
|
FINISHED |
| Object | Higashi Ward, Sapporo |
—
|
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: Higashi Ward, Sapporo | Statement: [Higashi Ward Office, administrativeDivisionServed, Higashi Ward, Sapporo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeDivisionServed Context triple: [Higashi Ward Office, administrativeDivisionServed, Higashi Ward, Sapporo]
-
A.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
B.
servedDistrict
Indicates that an entity has provided official service or representation to a particular district.
-
C.
strategicAreaServed
Indicates that an entity provides services or exerts influence within a particular area considered strategically important.
-
D.
countrySubdivisionServed
chosen
Indicates a relationship where a service, organization, or entity operates within and provides its offerings to a specific administrative region or subdivision of a country.
-
E.
townServed
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 28, 2026, 4:29 p.m.