Triple
T25221130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-in Temple |
E631965
|
entity |
| Predicate | cityNicknameConnection |
P75223
|
FINISHED |
| Object | Little Edo (Koedo) Kawagoe |
—
|
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: Little Edo (Koedo) Kawagoe | Statement: [Kita-in Temple, cityNicknameConnection, Little Edo (Koedo) Kawagoe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityNicknameConnection Context triple: [Kita-in Temple, cityNicknameConnection, Little Edo (Koedo) Kawagoe]
-
A.
cityNicknameAssociation
Indicates an associative relationship where a particular nickname is used to refer to or characterize a specific city.
-
B.
cityNickname
Indicates that one entity is commonly used as an informal or alternative name for a city.
-
C.
cityNickNameForFanBase
Indicates that a particular nickname is used by fans to refer to a city or its fan base.
-
D.
isInCityNicknamed
chosen
Indicates that one entity is located in a city that is known by a particular nickname.
-
E.
metropolitanAreaNickname
Indicates that a metropolitan area is known by a particular informal or colloquial nickname.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cbe66648190a46a29d187ab2c47 |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:03 p.m.