Triple
T6208099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingushetia |
E138797
|
entity |
| Predicate | hasHeadOfRepublicTitle |
P593
|
FINISHED |
| Object | Head of the Republic of Ingushetia |
—
|
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: Head of the Republic of Ingushetia | Statement: [Ingushetia, hasHeadOfRepublicTitle, Head of the Republic of Ingushetia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadOfRepublicTitle Context triple: [Ingushetia, hasHeadOfRepublicTitle, Head of the Republic of Ingushetia]
-
A.
headOfRepublic
Indicates the relationship in which a person holds the highest office and serves as the chief of state of a republic.
-
B.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
C.
previousHeadOfStateTitle
Indicates that one entity is the official title or designation held by another entity in its role as a former head of state.
-
D.
headOfStateTitle
chosen
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
E.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.