Triple
T37901946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takehara Station |
E945437
|
entity |
| Predicate | adjacentCityFeature |
P194110
|
FINISHED |
| Object | coastal city of Takehara |
—
|
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: coastal city of Takehara | Statement: [Takehara Station, adjacentCityFeature, coastal city of Takehara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCityFeature Context triple: [Takehara Station, adjacentCityFeature, coastal city of Takehara]
-
A.
adjacentCityOrTown
Indicates that one city or town is directly next to or bordering another city or town geographically.
-
B.
adjacentCityOnLine
Indicates that one city is directly next to another city along the same transportation line or route.
-
C.
adjacentMajorCity
Indicates that one major city is geographically next to or directly bordering another major city.
-
D.
adjacentProvince
Indicates that two provinces share a common boundary and are directly next to each other geographically.
-
E.
adjacentCitySouth
Indicates that one city is directly to the south of another city, sharing a common boundary or being immediately neighboring in that direction.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: May 3, 2026, 4:20 p.m.