Triple
T29356116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagareyama |
E744446
|
entity |
| Predicate | prefecturalSymbol |
P168143
|
FINISHED |
| Object | Zelkova serrata (tree) |
—
|
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: Zelkova serrata (tree) | Statement: [Nagareyama, prefecturalSymbol, Zelkova serrata (tree)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefecturalSymbol Context triple: [Nagareyama, prefecturalSymbol, Zelkova serrata (tree)]
-
A.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
-
B.
isMunicipalSymbolOf
Indicates that something serves as an official municipal symbol representing a particular city or local government.
-
C.
governingPrefecturalCapital
Indicates that one entity serves as the administrative capital governing a particular prefecture.
-
D.
cantonSymbol
Indicates that one entity serves as the official symbol or emblem representing a particular canton.
-
E.
prefectureCapital
Indicates that a city serves as the administrative capital of a given prefecture.
- F. None of above. chosen
Provenance (4 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 2:12 p.m.