Triple

T11135425
Position Surface form Disambiguated ID Type / Status
Subject Fars Province E263396 entity
Predicate containsCity P294 FINISHED
Object Darab
Darab is a historic city in southern Iran known for its ancient ruins, agricultural significance, and location within Fars Province.
 E907991 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: Darab | Statement: [Fars Province, containsCity, Darab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darab
Context triple: [Fars Province, containsCity, Darab]
  • A. Dawar
    Dawar is a town in the Gurez Valley of Jammu and Kashmir, India, known for its remote Himalayan setting near the Line of Control.
  • B. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • C. Dalaba
    Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
  • D. Daraza
    Daraza is a village in Sindh, Pakistan, known primarily as the birthplace of the renowned Sufi poet Sachal Sarmast.
  • E. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • 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: Darab
Triple: [Fars Province, containsCity, Darab]
Generated description
Darab is a historic city in southern Iran known for its ancient ruins, agricultural significance, and location within Fars Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darab
Target entity description: Darab is a historic city in southern Iran known for its ancient ruins, agricultural significance, and location within Fars Province.
  • A. Dawar
    Dawar is a town in the Gurez Valley of Jammu and Kashmir, India, known for its remote Himalayan setting near the Line of Control.
  • B. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • C. Dalaba
    Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
  • D. Daraza
    Daraza is a village in Sindh, Pakistan, known primarily as the birthplace of the renowned Sufi poet Sachal Sarmast.
  • E. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.