Triple

T11161896
Position Surface form Disambiguated ID Type / Status
Subject Yantra River E264055 entity
Predicate knownAs P39 FINISHED
Object Янтра E67856 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: Янтра | Statement: [Yantra River, knownAs, Янтра]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Янтра
Context triple: [Yantra River, knownAs, Янтра]
  • A. Yantra chosen
    Yantra is a major river in northern Bulgaria that flows through cities like Veliko Tarnovo before joining the Danube.
  • B. Misra Yantra
    Misra Yantra is an astronomical instrument at Jantar Mantar in New Delhi, historically used to measure time and celestial positions with high precision.
  • C. Disha Yantra
    Disha Yantra is an astronomical instrument at Jaipur’s Jantar Mantar observatory used to determine the direction of celestial objects.
  • D. Rama Yantra
    Rama Yantra is a large cylindrical astronomical instrument at Jantar Mantar in New Delhi used for measuring the altitude and azimuth of celestial bodies.
  • E. Rama Yantra
    Rama Yantra is an astronomical instrument at Jaipur’s Jantar Mantar observatory, designed as a cylindrical structure to measure the altitude and azimuth of celestial bodies.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46375c61c8190939401f790cf1593 completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.