Triple

T8531536
Position Surface form Disambiguated ID Type / Status
Subject Pakdasht County E201961 entity
Predicate hasSettlement P1068 FINISHED
Object Pakdasht E793990 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: Pakdasht | Statement: [Pakdasht County, hasSettlement, Pakdasht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakdasht
Context triple: [Pakdasht County, hasSettlement, Pakdasht]
  • A. Pakdasht chosen
    Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
  • B. Shahrud
    Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
  • C. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • D. Taleqan
    Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
  • E. Nasirshahr
    Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe676e2ac8190b65a3d2a935776fd completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a931988190aaff56f16057ea90 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 6:17 p.m.