Triple

T19471391
Position Surface form Disambiguated ID Type / Status
Subject East Coast of Sabah E487130 entity
Predicate hasDistrict P459 FINISHED
Object Kunak District 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: Kunak District | Statement: [East Coast of Sabah, hasDistrict, Kunak District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunak District
Context triple: [East Coast of Sabah, hasDistrict, Kunak District]
  • A. Kunak District chosen
    Kunak District is an administrative district in the Malaysian state of Sabah, located on the island of Borneo and known for its agricultural activities and rural settlements.
  • B. Karatay district
    Karatay district is a central urban district of Konya, Turkey, known for its historic architecture and cultural heritage within the city.
  • C. Urgun District
    Urgun District is an administrative district in southeastern Afghanistan known for its strategic location and role within Paktika Province.
  • D. Saryagash District
    Saryagash District is an administrative district in southern Kazakhstan known for its proximity to the Uzbek border and its mineral springs.
  • E. Aksu District
    Aksu District is an administrative district in Antalya Province, Turkey, known for its agricultural production and proximity to the Mediterranean coast.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.