Triple
T3792856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeharu Yamanaka |
E89697
|
entity |
| Predicate | cityGovernedSize |
P51780
|
FINISHED |
| Object | one of Japan’s largest cities |
—
|
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: one of Japan’s largest cities | Statement: [Takeharu Yamanaka, cityGovernedSize, one of Japan’s largest cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityGovernedSize Context triple: [Takeharu Yamanaka, cityGovernedSize, one of Japan’s largest cities]
-
A.
governedPopulation
Indicates that one entity serves as the governing authority over the population of another entity.
-
B.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
C.
citySigned
Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
-
D.
cityArea
Indicates the total geographic area covered by a city.
-
E.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeecee63e8819099b8ee8ad4d4354e |
completed | March 9, 2026, 3:53 p.m. |
Created at: March 9, 2026, 3:15 p.m.