Triple

T8343863
Position Surface form Disambiguated ID Type / Status
Subject Robat Karim County E195986 entity
Predicate hasSettlement P1068 FINISHED
Object Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
E784586 NE FINISHED

How this triple was built (4 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: Nasirshahr | Statement: [Robat Karim County, hasSettlement, Nasirshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasirshahr
Context triple: [Robat Karim County, hasSettlement, Nasirshahr]
  • A. Eslamshahr
    Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
  • B. Nowshahr
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • C. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • D. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • E. Salehabad
    Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nasirshahr
Triple: [Robat Karim County, hasSettlement, Nasirshahr]
Generated description
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nasirshahr
Target entity description: Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
  • A. Eslamshahr
    Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
  • B. Nowshahr
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • C. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • D. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • E. Salehabad
    Salehabad is a settlement located within Robat Karim County in Tehran Province, Iran.
  • F. None of above. chosen

Provenance (5 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fed6b588190ba5593859c8effc2 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065ac77c08190af1c13cce87e0991 completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d066f0aa588190997de81afd8dc0b5 completed April 4, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69d067e17fac819095544182f3232bf5 completed April 4, 2026, 1:22 a.m.
Created at: March 30, 2026, 5:58 p.m.