Triple
T12592592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | isPartOfMetropolis |
P294
|
FINISHED |
| Object | 東京都 |
—
|
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: 東京都 | Statement: [世田谷区, isPartOfMetropolis, 東京都]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMetropolis Context triple: [世田谷区, isPartOfMetropolis, 東京都]
-
A.
partOfMetropolitanArea
chosen
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
B.
isMetropolitanOf
Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
-
C.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
D.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
E.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:07 p.m.