Triple

T10591007
Position Surface form Disambiguated ID Type / Status
Subject Ghat District E249986 entity
Predicate bordersWith P224 FINISHED
Object Murzuq District E510087 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: Murzuq District | Statement: [Ghat District, bordersWith, Murzuq District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murzuq District
Context triple: [Ghat District, bordersWith, Murzuq District]
  • A. Murzuq District chosen
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • B. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • C. Masally District
    Masally District is an administrative region in southern Azerbaijan known for its subtropical climate, agriculture, and location near the Caspian Sea.
  • D. Badrashin district
    Badrashin district is an administrative region in Giza Governorate, Egypt, known for encompassing several important archaeological and historical sites near ancient Memphis.
  • E. Ismayilli District
    Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277b66448190b668c47fe6af4f3d completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98838c9b88190b12d8873695e219e completed April 10, 2026, 11:31 p.m.
Created at: April 6, 2026, 12:40 p.m.