Triple

T1645772
Position Surface form Disambiguated ID Type / Status
Subject Margalla Hills E35577 entity
Predicate languageOfRegion P10892 FINISHED
Object Potohari E39207 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: Potohari | Statement: [Margalla Hills, languageOfRegion, Potohari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potohari
Context triple: [Margalla Hills, languageOfRegion, Potohari]
  • A. Potohari chosen
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • B. Sehore
    Sehore is a town and district headquarters in central India, located near the state capital Bhopal in Madhya Pradesh.
  • C. Pegau
    Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
  • D. Lagodekhi
    Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
  • E. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a41e5a08190b97dd1c0b12c662a completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a8c22c8190b7f2883dfbd1403f completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.