Triple

T12789083
Position Surface form Disambiguated ID Type / Status
Subject Berar E305708 entity
Predicate historicalName P65 FINISHED
Object Warhad
Warhad is an old regional name historically used for the area later known as Berar in central India.
 E1002743 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: Warhad | Statement: [Berar, historicalName, Warhad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warhad
Context triple: [Berar, historicalName, Warhad]
  • A. Atakum
    Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
  • B. Oruzgan
    Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
  • C. Khadan
    Khadan was a notable member of the Borjigin clan, the royal family lineage that produced Genghis Khan and other Mongol rulers.
  • D. Khasar
    Khasar was a famed Mongol general and younger brother of Genghis Khan, renowned for his exceptional archery skills and key role in the early Mongol conquests.
  • E. Hizma
    Hizma is a Palestinian village located northeast of Jerusalem in the central West Bank.
  • 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: Warhad
Triple: [Berar, historicalName, Warhad]
Generated description
Warhad is an old regional name historically used for the area later known as Berar in central India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warhad
Target entity description: Warhad is an old regional name historically used for the area later known as Berar in central India.
  • A. Atakum
    Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
  • B. Oruzgan
    Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
  • C. Khadan
    Khadan was a notable member of the Borjigin clan, the royal family lineage that produced Genghis Khan and other Mongol rulers.
  • D. Khasar
    Khasar was a famed Mongol general and younger brother of Genghis Khan, renowned for his exceptional archery skills and key role in the early Mongol conquests.
  • E. Hizma
    Hizma is a Palestinian village located northeast of Jerusalem in the central West Bank.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6a61f48190972e241e70bc392c completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68508e4488190bb57a1ade93987ab completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f687ae18c08190a94dca38bb69d10f completed May 2, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f68884ed348190a1b2c89b1d655fa9 completed May 2, 2026, 11:28 p.m.
Created at: April 9, 2026, 5:30 p.m.