Triple

T5732953
Position Surface form Disambiguated ID Type / Status
Subject Murzuq Oasis E126427 entity
Predicate partOf P40 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: [Murzuq Oasis, partOf, Murzuq District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murzuq District
Context triple: [Murzuq Oasis, partOf, 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02534288c8190807dcdd183fccfe5 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097f372a08190b4e9d52ba138d872 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:47 p.m.