Triple
T15925098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skenderaj |
E386186
|
entity |
| Predicate | hasMunicipalAssemblySeats |
P120574
|
FINISHED |
| Object | multiple political parties represented |
—
|
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: multiple political parties represented | Statement: [Skenderaj, hasMunicipalAssemblySeats, multiple political parties represented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalAssemblySeats Context triple: [Skenderaj, hasMunicipalAssemblySeats, multiple political parties represented]
-
A.
hasMunicipalSeatFunction
Indicates that an entity serves as the administrative or municipal seat (central governing location) for a municipality.
-
B.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
C.
hasLegislativeChamberSeats
Indicates that a legislative chamber holds or is allocated a specified number of seats.
-
D.
governingBodySeats
Indicates the number of seats or positions an entity holds in a specified governing body.
-
E.
hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
- F. None of above. chosen
Provenance (4 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.