Triple
T18603531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi Ward Office |
E454677
|
entity |
| Predicate | administrativeDivisionTypeServed |
P106792
|
FINISHED |
| Object | ward |
—
|
LITERAL FINISHED |
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: ward | Statement: [Nishi Ward Office, administrativeDivisionTypeServed, ward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeDivisionTypeServed Context triple: [Nishi Ward Office, administrativeDivisionTypeServed, ward]
-
A.
appliesToAdministrativeDivisionType
chosen
Indicates that something is relevant or applicable specifically to a certain type or category of administrative division.
-
B.
countrySubdivisionServed
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.
-
C.
usesAdministrativeDivisionType
Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
-
D.
areaServedType
Indicates the type or category of area that is served by an entity or service.
-
E.
administrativeTerritoryType
Indicates the classification of an administrative area according to its level or type of territorial governance (e.g., city, county, province).
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54752abec8190a5f4aa84abe8b240 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.