Triple
T25583212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuo, Tokyo |
E641309
|
entity |
| Predicate | bordersWard |
P107921
|
FINISHED |
| Object | Chiyoda, Tokyo |
—
|
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: Chiyoda, Tokyo | Statement: [Chuo, Tokyo, bordersWard, Chiyoda, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bordersWard Context triple: [Chuo, Tokyo, bordersWard, Chiyoda, Tokyo]
-
A.
borderingLocalGovernmentArea
chosen
Indicates that one local government area shares a common boundary with another local government area.
-
B.
bordersVia
Indicates that two entities share a boundary or border that is specifically established, defined, or mediated through a particular intermediate feature, route, or medium.
-
C.
borderingCensusDivision
Indicates that one census division shares a common boundary with another census division.
-
D.
countyBorder
Indicates that two counties share a common boundary or border with each other.
-
E.
isBorderDistrict
Indicates that a district is located along and directly borders the boundary of a larger administrative region or country.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 4:14 p.m.