Triple

T9365605
Position Surface form Disambiguated ID Type / Status
Subject Sijistan E225390 entity
Predicate majorCity P316 FINISHED
Object Nimruz
Nimruz is a city in southwestern Afghanistan that serves as the capital of Nimruz Province and an important regional center near the borders with Iran and Pakistan.
 E795322 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: Nimruz | Statement: [Sijistan, majorCity, Nimruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nimruz
Context triple: [Sijistan, majorCity, Nimruz]
  • A. Nimri
    Nimri is a Spanish actress and singer best known for her roles in series like "Money Heist" and "Vis a Vis."
  • B. Naqa
    Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
  • C. Nubri
    Nubri is a remote Himalayan valley in northern Nepal inhabited primarily by ethnically Tibetan communities known for their distinct Buddhist culture and traditional high-altitude livelihoods.
  • D. Nimarata
    Nimarata is the birth name of American politician Nikki Haley, who served as U.S. ambassador to the United Nations and governor of South Carolina.
  • E. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • 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: Nimruz
Triple: [Sijistan, majorCity, Nimruz]
Generated description
Nimruz is a city in southwestern Afghanistan that serves as the capital of Nimruz Province and an important regional center near the borders with Iran and Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nimruz
Target entity description: Nimruz is a city in southwestern Afghanistan that serves as the capital of Nimruz Province and an important regional center near the borders with Iran and Pakistan.
  • A. Nimri
    Nimri is a Spanish actress and singer best known for her roles in series like "Money Heist" and "Vis a Vis."
  • B. Naqa
    Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
  • C. Nubri
    Nubri is a remote Himalayan valley in northern Nepal inhabited primarily by ethnically Tibetan communities known for their distinct Buddhist culture and traditional high-altitude livelihoods.
  • D. Nimarata
    Nimarata is the birth name of American politician Nikki Haley, who served as U.S. ambassador to the United Nations and governor of South Carolina.
  • E. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f51f8ae88190a15d2e521449c8b5 completed April 4, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5d543a48190b9f25d4316664f04 completed April 4, 2026, 11:28 a.m.
Created at: March 30, 2026, 7:43 p.m.