Triple

T9658046
Position Surface form Disambiguated ID Type / Status
Subject Shemiran E233511 entity
Predicate contains P35 FINISHED
Object Darakeh E709060 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: Darakeh | Statement: [Shemiran, contains, Darakeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darakeh
Context triple: [Shemiran, contains, Darakeh]
  • A. Darakeh chosen
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • B. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • C. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • D. Degahabur
    Degahabur is a town in eastern Ethiopia that serves as an administrative and commercial center within the Somali Region.
  • E. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdeb04081909ee582084e502ff6 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a07444c819099d7462c38f6da49 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.