Triple
T28977327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنينة |
E734447
|
entity |
| Predicate | تقع_في_البلدية |
P142423
|
FINISHED |
| Object | بلدية بنغازي |
—
|
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: بلدية بنغازي | Statement: [بنينة, تقع_في_البلدية, بلدية بنغازي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تقع_في_البلدية Context triple: [بنينة, تقع_في_البلدية, بلدية بنغازي]
-
A.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
B.
locatedInRegionalCouncil
Indicates that one entity is geographically situated within the jurisdictional area governed by a specific regional council.
-
C.
locatedInMunicipalAssociation
chosen
Indicates that an entity (typically a municipality or locality) is situated within and belongs administratively to a specific municipal association.
-
D.
cityOrDistrict
Indicates that the subject is classified as either a city or a district in relation to the object.
-
E.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:09 a.m.