Triple

T12707638
Position Surface form Disambiguated ID Type / Status
Subject Târnava Mică River E303628 entity
Predicate hasNameInRomanian P23117 FINISHED
Object Târnava Mică E303628 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 Mică | Statement: [Târnava Mică River, hasNameInRomanian, Târnava Mică]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Târnava Mică
Context triple: [Târnava Mică River, hasNameInRomanian, Târnava Mică]
  • A. Târnava Mică River chosen
    The Târnava Mică River is a river in central Romania that flows through the historical region of Transylvania before joining the Mureș River.
  • B. Chepelare River
    The Chepelare River is a mountain river in southern Bulgaria that flows through the Rhodope Mountains and past the historic Bachkovo Monastery before joining the Maritsa River.
  • C. Oltișor River
    The Oltișor River is a smaller watercourse in Romania that serves as a left-bank tributary of the Olteț River within its regional drainage basin.
  • D. Farfa River
    The Farfa River is a small watercourse in the Sabina region of central Italy, known for flowing through a scenic valley near the historic Abbey of Farfa.
  • E. Măgurele
    Măgurele is a town in southern Romania known for its scientific research institutes and proximity to Bucharest.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bab66488190a465e40f1181506e completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 5:23 p.m.