Triple

T12506583
Position Surface form Disambiguated ID Type / Status
Subject Alba County E298962 entity
Predicate traversedByRiver P165 FINISHED
Object Târnava River E298964 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: Târnava River | Statement: [Alba County, traversedByRiver, Târnava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Târnava River
Context triple: [Alba County, traversedByRiver, Târnava River]
  • A. Târnava Mare River chosen
    The Târnava Mare River is a significant river in central Romania that flows through the historical region of Transylvania before joining the Mureș River.
  • B. Cerna River
    The Cerna River is a river in southwestern Romania that flows through the historic spa town of Băile Herculane before joining the Danube.
  • C. Tisa River
    The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
  • D. Crasna River
    The Crasna River is a tributary watercourse in eastern Romania that feeds into the larger Bârlad River system.
  • E. Olteț River
    The Olteț River is a tributary watercourse in southern Romania that flows through several counties before joining the larger Olt River.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5b2b988190892e14620fb87366 completed May 3, 2026, 10:38 p.m.
Created at: April 8, 2026, 9:57 p.m.