Triple

T13768188
Position Surface form Disambiguated ID Type / Status
Subject Hrazdan River E330805 entity
Predicate flowsThrough P225 FINISHED
Object Charentsavan E992882 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: Charentsavan | Statement: [Hrazdan River, flowsThrough, Charentsavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charentsavan
Context triple: [Hrazdan River, flowsThrough, Charentsavan]
  • A. Charentsavan chosen
    Charentsavan is an industrial town and urban community in central Armenia, located in the Kotayk Province.
  • B. Asomtavruli
    Asomtavruli is the oldest form of the Georgian script, characterized by its monumental, rounded letters historically used in inscriptions and religious manuscripts.
  • C. Yeghishe
    Yeghishe was a prominent 5th-century Armenian historian and writer best known for his classic account of the Battle of Avarayr and the Armenian struggle for religious freedom.
  • D. Narek
    Narek is a Romulan agent and central antagonist in the television series "Star Trek: Picard."
  • E. Stepantsminda
    Stepantsminda is a small mountain town in northern Georgia, known as a gateway to the Greater Caucasus and the nearby Mount Kazbek.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.