Triple

T14200481
Position Surface form Disambiguated ID Type / Status
Subject Al Asimah Governorate E351951 entity
Predicate includes P1393 FINISHED
Object Bneid Al Gar E372614 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: Bneid Al Gar | Statement: [Al Asimah Governorate, includes, Bneid Al Gar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bneid Al Gar
Context triple: [Al Asimah Governorate, includes, Bneid Al Gar]
  • A. Bneid Al Gar chosen
    Bneid Al Gar is a coastal residential and commercial district in Kuwait City known for its seaside location and proximity to the city center.
  • B. Belqas
    Belqas is a notable city in Egypt’s Dakahlia Governorate, recognized as an important local urban and administrative center in the Nile Delta region.
  • C. Jobat State
    Jobat State was a small princely state in what is now Madhya Pradesh, India, that existed under British suzerainty before independence.
  • D. Wehdat
    Wehdat is a prominent Jordanian sports club best known for its successful football team and large, passionate fan base.
  • E. An-Naziat
    An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
  • 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.