Triple

T17590392
Position Surface form Disambiguated ID Type / Status
Subject Jabal al Akhdar District E428430 entity
Predicate borderedBy P224 FINISHED
Object Marj 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: Marj District | Statement: [Jabal al Akhdar District, borderedBy, Marj District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marj District
Context triple: [Jabal al Akhdar District, borderedBy, Marj District]
  • A. Marj District chosen
    Marj District is an administrative district in northeastern Libya centered around the town of Marj.
  • B. Masin District
    Masin District is an administrative district located within Huari Province in the Ancash Region of Peru, known for its Andean highland geography and rural communities.
  • C. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • D. Maktaaral District
    Maktaaral District is an administrative district in southern Kazakhstan, located in the agricultural region historically associated with the South Kazakhstan Region.
  • E. Siha District
    Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e6e3888190b73a5b6d7e8c0a55 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.