Triple
T32671501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagajō |
E835302
|
entity |
| Predicate | belongsToPrefecturalCapitalArea |
P198343
|
FINISHED |
| Object | Sendai urban area |
—
|
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: Sendai urban area | Statement: [Tagajō, belongsToPrefecturalCapitalArea, Sendai urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPrefecturalCapitalArea Context triple: [Tagajō, belongsToPrefecturalCapitalArea, Sendai urban area]
-
A.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
B.
isInPrefecturalCapital
Indicates that one entity is located within the administrative boundaries of a prefectural capital city.
-
C.
isAssociatedWithPrefecture
Indicates that an entity has a connection or affiliation with a specific prefecture, such as administrative, geographic, or organizational association.
-
D.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
E.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
| PDg | Predicate description generation | batch_69fedec5e1708190a0b13be7533d55d8 |
completed | May 9, 2026, 7:14 a.m. |
Created at: May 1, 2026, 1:09 a.m.