Triple

T4048239
Position Surface form Disambiguated ID Type / Status
Subject Lasi E84119 entity
Predicate spokenIn P2266 FINISHED
Object Lasbela District E289703 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: Lasbela District | Statement: [Lasi, spokenIn, Lasbela District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasbela District
Context triple: [Lasi, spokenIn, Lasbela District]
  • A. Lasbela District chosen
    Lasbela District is a coastal administrative district in Balochistan, Pakistan, known for its Arabian Sea shoreline, industrial zones, and proximity to Karachi.
  • B. Afgooye District
    Afgooye District is an administrative district in Somalia centered around the town of Afgooye in the southern Lower Shabelle region.
  • C. Shabran District
    Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
  • D. Kohistan District
    Kohistan District is a mountainous administrative region in northern Pakistan known for its rugged terrain, remote valleys, and ethnically diverse communities.
  • E. Ghizer District
    Ghizer District is an administrative district in the Gilgit-Baltistan region of northern Pakistan, known for its mountainous terrain, scenic valleys, and strategic location along routes linking to Chitral via high mountain passes.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629e75e88190935ae3e7db8eb12f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.