Triple

T16236935
Position Surface form Disambiguated ID Type / Status
Subject Bhit Shah E394138 entity
Predicate roadConnection P385 FINISHED
Object Matiari E1199959 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: Matiari | Statement: [Bhit Shah, roadConnection, Matiari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matiari
Context triple: [Bhit Shah, roadConnection, Matiari]
  • A. Matiari chosen
    Matiari is a town in Pakistan’s Sindh province that serves as a key power hub and terminal point for major national electricity transmission infrastructure.
  • B. Maraita
    Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • E. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455bb23881909c4cb4c1439d2bc5 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed8cbe48190be68ccade55211ad completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.