Triple
T3047618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota City |
E83487
|
entity |
| Predicate | populationRankInAichiPrefecture |
P45321
|
FINISHED |
| Object | one of the 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 the largest cities | Statement: [Toyota City, populationRankInAichiPrefecture, one of the largest cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInAichiPrefecture Context triple: [Toyota City, populationRankInAichiPrefecture, one of the largest cities]
-
A.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
B.
gdpRankInJapan
Indicates the position of an entity in the ordered ranking of GDP values within Japan.
-
C.
subprefectureOf
Indicates that one administrative subprefecture is a subordinate division within and officially belongs to a larger governing region or prefecture.
-
D.
flowsThroughPrefecture
Indicates that something, typically a river or waterway, passes through or traverses the geographic area of a specified prefecture.
-
E.
都道府県
Indicates a relationship where an entity is a Japanese prefecture or belongs to/pertains to a specific Japanese 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bad11b48190a5bd01e91a320e14 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad9b272a408190ba0ce09bdeea76c9 |
completed | March 8, 2026, 3:52 p.m. |
Created at: March 8, 2026, 3:01 p.m.