Triple

T28977326

Position	Surface form	Disambiguated ID	Type / Status
Subject	بنينة	`E734447`	entity
Predicate	تقع_في_المحافظة_أو_المديرية	`P115028`	FINISHED
Object	محافظة بنغازي محافظة بنغازي هي إحدى أهم محافظات ليبيا الواقعة في إقليم برقة بشرق البلاد وتضم مدينة بنغازي كأكبر مراكزها الحضرية والإدارية.	`E1277429`	NE FINISHED

How this triple was built (3 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: محافظة بنغازي | Statement: [بنينة, تقع_في_المحافظة_أو_المديرية, محافظة بنغازي]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: محافظة بنغازي
Triple: [بنينة, تقع_في_المحافظة_أو_المديرية, محافظة بنغازي]

Generated description

محافظة بنغازي هي إحدى أهم محافظات ليبيا الواقعة في إقليم برقة بشرق البلاد وتضم مدينة بنغازي كأكبر مراكزها الحضرية والإدارية.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: تقع_في_المحافظة_أو_المديرية
Context triple: [بنينة, تقع_في_المحافظة_أو_المديرية, محافظة بنغازي]

A. isLocatedInGovernorate chosen
Indicates that an entity is situated within the administrative area of a specific governorate.
B. locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
C. locatedInGovernorateCapitalRegion
Indicates that an entity is situated within the capital region of a governorate.
D. situéeDansLeDépartement
Indicates that one entity is located within the administrative boundaries of a specific department.
E. locatedInMunicipalAssociation
Indicates that an entity (typically a municipality or locality) is situated within and belongs administratively to a specific municipal association.
F. None of above.

Provenance (6 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_69f65ee1cc508190bc979963e3589271`	completed	May 2, 2026, 8:30 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2505accfb88190a1810e8a4976ca3b`	completed	June 7, 2026, 5:46 a.m.
NEDg	Description generation	`batch_6a250ad5af3881908858aa1744eafd5b`	completed	June 7, 2026, 6:08 a.m.
NED2	Entity disambiguation (via description)	`batch_6a250ea8cdf88190b21bb372ffded6d4`	completed	June 7, 2026, 6:24 a.m.
PD	Predicate disambiguation	`batch_69f659d02f1c8190831758ac52bb54e4`	completed	May 2, 2026, 8:08 p.m.

Created at: April 28, 2026, 9:09 a.m.