Triple
T4077684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. states |
E87403
|
entity |
| Predicate | haveCapitalCity |
P37276
|
FINISHED |
| Object | state capital |
—
|
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: state capital | Statement: [U.S. states, haveCapitalCity, state capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveCapitalCity Context triple: [U.S. states, haveCapitalCity, state capital]
-
A.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
B.
hostsCapitalOf
Indicates that one location serves as the capital city of another administrative or political entity.
-
C.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
D.
containsCapitalCity
chosen
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
E.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4d348c8190a94724639830aca0 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.