Triple
T35132589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tal-Fuq |
E1014478
|
entity |
| Predicate | partOfLocalCouncil |
P200075
|
FINISHED |
| Object | Żebbuġ Local Council |
—
|
NE NERFINISHED |
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: Żebbuġ Local Council | Statement: [Tal-Fuq, partOfLocalCouncil, Żebbuġ Local Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLocalCouncil Context triple: [Tal-Fuq, partOfLocalCouncil, Żebbuġ Local Council]
-
A.
districtCouncil
Indicates that an entity serves as, or is governed by, a district-level council within a larger administrative or political structure.
-
B.
hasLocalCouncilArea
chosen
Indicates that an entity is located within, or is administratively governed by, a specific local council area.
-
C.
seatOfLocalGovernment
Indicates that one entity serves as the administrative center or headquarters where the local government of another entity is based and operates.
-
D.
locatedInRegionalCouncil
Indicates that one entity is geographically situated within the jurisdictional area governed by a specific regional council.
-
E.
hasLocalCouncilRepresentation
Indicates that an entity is represented by a local council or has elected representatives serving on a local council.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a007899cadc8190a04edd503eaf6514 |
completed | May 10, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_6a0078493e088190b0c5047cbe75d304 |
completed | May 10, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4:02 p.m.