Triple

T17741310
Position Surface form Disambiguated ID Type / Status
Subject Chiniot District E442863 entity
Predicate hasTehsil P51555 FINISHED
Object Lalian Tehsil
Lalian Tehsil is an administrative subdivision in Pakistan’s Punjab province, forming part of the Chiniot District.
E1285336 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: Lalian Tehsil | Statement: [Chiniot District, hasTehsil, Lalian Tehsil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalian Tehsil
Context triple: [Chiniot District, hasTehsil, Lalian Tehsil]
  • A. Allai Tehsil
    Allai Tehsil is an administrative subdivision located within Battagram District in the Khyber Pakhtunkhwa province of Pakistan.
  • B. Loralai Tehsil
    Loralai Tehsil is an administrative subdivision in Loralai District of Balochistan, Pakistan, encompassing both civilian settlements and the nearby Loralai Cantonment.
  • C. Dina Tehsil
    Dina Tehsil is an administrative subdivision in Pakistan’s Punjab province, centered on the town of Dina and forming part of the Jhelum region.
  • D. Taunsa Tehsil
    Taunsa Tehsil is an administrative subdivision in Punjab, Pakistan, centered around the town of Taunsa and encompassing surrounding rural and urban areas.
  • E. Thall Tehsil
    Thall Tehsil is an administrative subdivision in Pakistan’s Khyber Pakhtunkhwa province, forming part of Hangu District.
  • 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: Lalian Tehsil
Triple: [Chiniot District, hasTehsil, Lalian Tehsil]
Generated description
Lalian Tehsil is an administrative subdivision in Pakistan’s Punjab province, forming part of the Chiniot District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lalian Tehsil
Target entity description: Lalian Tehsil is an administrative subdivision in Pakistan’s Punjab province, forming part of the Chiniot District.
  • A. Allai Tehsil
    Allai Tehsil is an administrative subdivision located within Battagram District in the Khyber Pakhtunkhwa province of Pakistan.
  • B. Loralai Tehsil
    Loralai Tehsil is an administrative subdivision in Loralai District of Balochistan, Pakistan, encompassing both civilian settlements and the nearby Loralai Cantonment.
  • C. Dina Tehsil
    Dina Tehsil is an administrative subdivision in Pakistan’s Punjab province, centered on the town of Dina and forming part of the Jhelum region.
  • D. Taunsa Tehsil
    Taunsa Tehsil is an administrative subdivision in Punjab, Pakistan, centered around the town of Taunsa and encompassing surrounding rural and urban areas.
  • E. Thall Tehsil
    Thall Tehsil is an administrative subdivision in Pakistan’s Khyber Pakhtunkhwa province, forming part of Hangu District.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242fd4a008190b199a7a557ee24a4 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02451d83548190a7bb509f28a0d953 completed May 11, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a024574a9248190bc59aec3471cc999 completed May 11, 2026, 9:09 p.m.
Created at: April 10, 2026, 10:09 a.m.