Triple
T21800445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | たまプラーザキャンパス |
E538224
|
entity |
| Predicate | 最寄り都市 |
P112043
|
FINISHED |
| Object | 横浜市 |
—
|
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: 横浜市 | Statement: [たまプラーザキャンパス, 最寄り都市, 横浜市]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最寄り都市 Context triple: [たまプラーザキャンパス, 最寄り都市, 横浜市]
-
A.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
B.
majorCityNearMouth
Indicates that a major city is located close to the mouth (outflow point) of a river.
-
C.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
D.
nearestLargeUrbanArea
chosen
Indicates that one entity is the closest major city or large urban center to the other entity.
-
E.
prefectureCapitalNearby
Indicates that a prefecture’s capital city is geographically close to the referenced location.
- F. None of above.
Provenance (3 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fede848190b8fe07941d6573d9 |
completed | April 28, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.