Triple

T16305365
Position Surface form Disambiguated ID Type / Status
Subject Samalkha E395893 entity
Predicate administrativeDivision P747 FINISHED
Object Samalkha tehsil E395896 NE FINISHED

How this triple was built (2 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: Samalkha tehsil | Statement: [Samalkha, administrativeDivision, Samalkha tehsil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samalkha tehsil
Context triple: [Samalkha, administrativeDivision, Samalkha tehsil]
  • A. Samalkha tehsil chosen
    Samalkha tehsil is an administrative subdivision in the northern Indian state of Haryana, known for its mix of rural settlements and growing small-scale industries.
  • B. Sakrand Tehsil
    Sakrand Tehsil is an administrative subdivision and town in Sindh, Pakistan, known for its agricultural economy within the Nawabshah (Shaheed Benazirabad) region.
  • C. Khudu Khel Tehsil
    Khudu Khel Tehsil is an administrative subdivision of Buner District in Pakistan’s Khyber Pakhtunkhwa province.
  • D. Allai Tehsil
    Allai Tehsil is an administrative subdivision located within Battagram District in the Khyber Pakhtunkhwa province of Pakistan.
  • E. Gujar Khan Tehsil
    Gujar Khan Tehsil is an administrative subdivision in Punjab, Pakistan, known for its rural settlements and its location within the larger Rawalpindi region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa3353c8190825b31854a97220c completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.