Triple

T17382975
Position Surface form Disambiguated ID Type / Status
Subject Hawiye clans E422614 entity
Predicate notableCityPresence P2794 FINISHED
Object Beledweyne 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: Beledweyne | Statement: [Hawiye clans, notableCityPresence, Beledweyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beledweyne
Context triple: [Hawiye clans, notableCityPresence, Beledweyne]
  • A. Beledweyne chosen
    Beledweyne is a prominent city in central Somalia that serves as a key commercial and administrative center in the Hiran region.
  • B. Nasr City
    Nasr City is a large, modern district in eastern Cairo known for its wide avenues, residential neighborhoods, commercial centers, and several major governmental and military landmarks.
  • C. Achrafieh
    Achrafieh is a historic, predominantly Christian residential and commercial district in eastern Beirut known for its traditional architecture, vibrant nightlife, and cultural landmarks.
  • D. Aziziye district
    Aziziye district is an administrative district within Erzurum Province in eastern Turkey, known for its cold climate and proximity to the city of Erzurum.
  • E. Shorouk City
    Shorouk City is a planned satellite city on the outskirts of Cairo, Egypt, developed to accommodate population growth and reduce congestion in the capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a87d9948190986021f1fb5a4e00 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.