Triple
T12656508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Międzyrzec Podlaski |
E302296
|
entity |
| Predicate | hasLocalGovernmentLeaderTitle |
P1900
|
FINISHED |
| Object | mayor |
—
|
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: mayor | Statement: [Międzyrzec Podlaski, hasLocalGovernmentLeaderTitle, mayor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentLeaderTitle Context triple: [Międzyrzec Podlaski, hasLocalGovernmentLeaderTitle, mayor]
-
A.
hasDeputyLeaderTitle
Indicates that an entity holds a specific title associated with the role of deputy leader.
-
B.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
C.
civilianLeaderTitle
chosen
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
D.
hasCollectiveLeaderTitle
Indicates that a collective entity (such as a group, organization, or body) holds or is associated with a specific leadership title.
-
E.
hasLegislativeBodyTitle
Indicates the official title or designation used for the legislative body associated with an 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.