Triple

T13901410
Position Surface form Disambiguated ID Type / Status
Subject Landa E334229 entity
Predicate region P40 FINISHED
Object Sindh E12156 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: Sindh | Statement: [Landa, region, Sindh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindh
Context triple: [Landa, region, Sindh]
  • A. Sindh chosen
    Sindh is a southeastern province of Pakistan known for its historical Indus Valley heritage, major cities like Karachi and Hyderabad, and a rich Sindhi cultural and linguistic tradition.
  • B. Panjab
    Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
  • C. Punjab
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • D. Punjab, Pakistan
    Punjab, Pakistan is a populous and agriculturally rich province in eastern Pakistan, known for its cultural heritage, Punjabi language, and role as the country’s political and economic heartland.
  • E. Balochistan, Pakistan
    Balochistan, Pakistan is the country’s largest and sparsely populated southwestern province, known for its ethnic diversity, rich natural resources, and strategic location bordering Iran and Afghanistan.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d9c7a48190ad8fb0ca676f4f7b completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7419cc81909488871c16d6b356 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:15 p.m.