Triple

T15795207
Position Surface form Disambiguated ID Type / Status
Subject Georgian highlands E382959 entity
Predicate hasPart P35 FINISHED
Object Mtiuleti E110298 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: Mtiuleti | Statement: [Georgian highlands, hasPart, Mtiuleti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mtiuleti
Context triple: [Georgian highlands, hasPart, Mtiuleti]
  • A. Mtiuleti chosen
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • B. Umtata
    Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
  • C. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • D. Titwala
    Titwala is a suburban town in the Thane district of Maharashtra, India, known for its Siddhivinayak Mahaganapati Temple and connectivity to Mumbai via the suburban railway network.
  • E. Mochudi
    Mochudi is a large village in southeastern Botswana that serves as a cultural and historical center of the Bakgatla people.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dc887081909d682ae153f06d97 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.