Triple
T33955311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | starost of Kałusz |
E870552
|
entity |
| Predicate | derivesFromOfficeType |
P175548
|
FINISHED |
| Object | starosta |
—
|
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: starosta | Statement: [starost of Kałusz, derivesFromOfficeType, starosta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesFromOfficeType Context triple: [starost of Kałusz, derivesFromOfficeType, starosta]
-
A.
isDerivedFromTitleOrOffice
chosen
Indicates that something originates from, is obtained through, or is based on a particular title or official position.
-
B.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
-
C.
governsOfficeType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of office.
-
D.
derivesFromOccupation
Indicates that one entity originates from, is obtained through, or is a result of another entity’s occupation or professional role.
-
E.
givenByOffice
Indicates that something (such as a document, decision, or service) is provided or issued by a specific office or official authority.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.