Triple

T10178775
Position Surface form Disambiguated ID Type / Status
Subject Bajaur Agency E235926 entity
Predicate hasTribe P32607 FINISHED
Object Tarkani
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
 E844882 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: Tarkani | Statement: [Bajaur Agency, hasTribe, Tarkani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarkani
Context triple: [Bajaur Agency, hasTribe, Tarkani]
  • A. Tarak
    Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • 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: Tarkani
Triple: [Bajaur Agency, hasTribe, Tarkani]
Generated description
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarkani
Target entity description: Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
  • A. Tarak
    Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
  • B. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • C. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd620808190892c6e3074500280 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3012d11488190a410d389034da887 completed April 6, 2026, 12:41 a.m.
NEDg Description generation batch_69d30256ee40819098569b37eb27d3d1 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d302d248e08190b6b7bae9343b6f9a completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:11 p.m.