Triple

T8559669
Position Surface form Disambiguated ID Type / Status
Subject Yamuna E202658 entity
Predicate sibling P363 FINISHED
Object Yama E42391 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: Yama | Statement: [Yamuna, sibling, Yama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yama
Context triple: [Yamuna, sibling, Yama]
  • A. Yama chosen
    Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
  • B. Yama
    Yama is a Linux Security Module that enhances process and ptrace-related security by restricting how processes can inspect or interfere with each other.
  • C. Yama
    Yama is the historical name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
  • D. Yamate
    Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
  • E. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe949974c8190a75d9c767ca5fa5a completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce894d82588190b558d5b2dc65eafe completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.