Triple

T14998485
Position Surface form Disambiguated ID Type / Status
Subject Hai District E374020 entity
Predicate borderedBy P224 FINISHED
Object Siha District E374021 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: Siha District | Statement: [Hai District, borderedBy, Siha District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siha District
Context triple: [Hai District, borderedBy, Siha District]
  • A. Siha District chosen
    Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
  • B. Ishkashim District
    Ishkashim District is a remote mountainous administrative region in northeastern Afghanistan’s Badakhshan Province, known for its location in the Wakhan Corridor and its ethnolinguistic communities.
  • C. 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.
  • D. Qabala District
    Qabala District is an administrative region in northern Azerbaijan known for its mountainous landscapes, historical sites, and role as a popular tourist destination.
  • E. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae080ef88190a26c4f9b1675f9de completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:54 a.m.