Triple

T14200477
Position Surface form Disambiguated ID Type / Status
Subject Al Asimah Governorate E351951 entity
Predicate includes P1393 FINISHED
Object Salhiya district E378228 NE 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: Salhiya district | Statement: [Al Asimah Governorate, includes, Salhiya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salhiya district
Context triple: [Al Asimah Governorate, includes, Salhiya district]
  • A. Salhiya district chosen
    Salhiya district is a central neighborhood in Kuwait City known for its commercial complexes, offices, and residential areas.
  • B. Anfa district
    Anfa district is an upscale coastal area of Casablanca, Morocco, known for its affluent residential neighborhoods, business centers, and historic significance.
  • C. Chetaïbi District
    Chetaïbi District is an administrative district in northeastern Algeria, situated within Annaba Province along the Mediterranean coast.
  • D. Murqub District
    Murqub District is an administrative region in northwestern Libya along the Mediterranean coast, encompassing the city of Khoms and several other towns.
  • E. Shwak District
    Shwak District is an administrative district located in Paktia Province in eastern Afghanistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.