Triple
T27034521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ジョージタウン大学 |
E681015
|
entity |
| Predicate | 所在都市の役割 |
P8652
|
FINISHED |
| Object | アメリカ合衆国の首都に位置する |
—
|
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: アメリカ合衆国の首都に位置する | Statement: [ジョージタウン大学, 所在都市の役割, アメリカ合衆国の首都に位置する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在都市の役割 Context triple: [ジョージタウン大学, 所在都市の役割, アメリカ合衆国の首都に位置する]
-
A.
hasMajorCityRole
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
-
B.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
C.
endpointCityRole
Indicates the role or function that a city plays as an endpoint within a route, connection, or network.
-
D.
hasUrbanRole
Indicates that an entity plays a specific functional or social role within an urban or city context.
-
E.
urbanRole
chosen
Indicates the function, status, or role that an entity holds within an urban or city context.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62266b8b48190a050b4953753e5a7 |
completed | May 2, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:15 a.m.