Triple

T7837954
Position Surface form Disambiguated ID Type / Status
Subject Ismail Khan E181732 entity
Predicate placeOfBirth P1 FINISHED
Object Shindand
Shindand is a town and district in western Afghanistan’s Herat Province, known historically as a strategic location with a significant airbase.
 E696093 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: Shindand | Statement: [Ismail Khan, placeOfBirth, Shindand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shindand
Context triple: [Ismail Khan, placeOfBirth, Shindand]
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Shaki
    Shaki is a historic city in northwestern Azerbaijan known for its rich cultural heritage, traditional architecture, and role as a regional trade and craftsmanship center.
  • C. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • D. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • E. Taji
    Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
  • 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: Shindand
Triple: [Ismail Khan, placeOfBirth, Shindand]
Generated description
Shindand is a town and district in western Afghanistan’s Herat Province, known historically as a strategic location with a significant airbase.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shindand
Target entity description: Shindand is a town and district in western Afghanistan’s Herat Province, known historically as a strategic location with a significant airbase.
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Shaki
    Shaki is a historic city in northwestern Azerbaijan known for its rich cultural heritage, traditional architecture, and role as a regional trade and craftsmanship center.
  • C. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • D. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • E. Taji
    Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c336f08190a21a3fcaa7269457 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ab573c88190bf6a1745ca5cc7b5 completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb5ded0284819086c40a379b52a5bd completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:46 p.m.