Triple

T1737607
Position Surface form Disambiguated ID Type / Status
Subject Luc’k E37954 entity
Predicate locatedOn P40 FINISHED
Object Styr River E96034 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: Styr River | Statement: [Luc’k, locatedOn, Styr River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Styr River
Context triple: [Luc’k, locatedOn, Styr River]
  • A. Styr River chosen
    The Styr River is a waterway in western Ukraine that flows through the city of Lutsk and is a tributary of the Pripyat River.
  • B. Virilla River
    The Virilla River is a significant waterway in Costa Rica’s Central Valley that runs near the capital city of San José and contributes to the region’s drainage and landscape.
  • C. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • D. Situk River
    The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
  • E. Merkys River
    The Merkys River is a significant river in southern Lithuania and northeastern Belarus, known for its scenic valleys and role in regional ecosystems before joining the Neman.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37371fbc08190abc2d3a1dd2f4e9a completed March 13, 2026, 2:16 a.m.
Created at: March 4, 2026, 7:30 p.m.