Triple
T30075173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial General Headquarters |
E764298
|
entity |
| Predicate | capitalOfCountryCommanded |
P148362
|
FINISHED |
| Object | Tokyo |
—
|
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: Tokyo | Statement: [Imperial General Headquarters, capitalOfCountryCommanded, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfCountryCommanded Context triple: [Imperial General Headquarters, capitalOfCountryCommanded, Tokyo]
-
A.
hostsCapitalOf
Indicates that one location serves as the capital city of another administrative or political entity.
-
B.
capitalOfFrom
Indicates that a city serves or served as the capital of a specified political entity during a particular time or from a particular source context.
-
C.
capitalOfType
Indicates that one entity serves as the capital city (or administrative capital) of a specified type of political or administrative unit represented by the other entity.
-
D.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
capitalOfCountryRuled
chosen
Indicates that a city serves as the capital of a country that is (or was) governed by a specified ruler or ruling entity.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 29, 2026, 7:01 p.m.