Triple

T18602957
Position Surface form Disambiguated ID Type / Status
Subject Municipal Corporation Sialkot E454662 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Sialkot city E101948 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: Sialkot city | Statement: [Municipal Corporation Sialkot, appliesToJurisdiction, Sialkot city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sialkot city
Context triple: [Municipal Corporation Sialkot, appliesToJurisdiction, Sialkot city]
  • A. Sialkot chosen
    Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
  • B. Bahawalnagar
    Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
  • C. Mandi Bahauddin
    Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
  • D. Khanewal
    Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
  • E. Sadiqabad
    Sadiqabad is a major urban and commercial center in southern Punjab, Pakistan, known for its strategic location near the Sindh–Punjab border and its role in regional trade and agriculture.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54751d7ec81909efc4867f649002e completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b67a3248190b37c04539ecc13a3 completed May 15, 2026, 2:19 p.m.
Created at: April 10, 2026, 11:45 a.m.