Triple

T15795220
Position Surface form Disambiguated ID Type / Status
Subject Georgian highlands E382959 entity
Predicate containsSettlement P847 FINISHED
Object Bakhmaro E320520 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: Bakhmaro | Statement: [Georgian highlands, containsSettlement, Bakhmaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakhmaro
Context triple: [Georgian highlands, containsSettlement, Bakhmaro]
  • A. Bakhmaro chosen
    Bakhmaro is a high-altitude mountain resort in western Georgia, renowned for its cool climate, coniferous forests, and scenic wooden cottages.
  • B. Bashiqa
    Bashiqa is a town in northern Iraq’s Nineveh Governorate, known for its diverse ethnic and religious communities and its location on the Nineveh Plains near Mosul.
  • C. Oruzgan
    Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
  • D. Sartaqtai
    Sartaqtai was a Mongol ruler who followed Orda Khan in leading the White Horde, a branch of the Golden Horde descended from Jochi.
  • E. Izberbash
    Izberbash is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its fishing industry and role as a regional transport and economic center.
  • 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.