Triple

T3199821
Position Surface form Disambiguated ID Type / Status
Subject Naga City E67022 entity
Predicate hasRiver P165 FINISHED
Object Naga River E344790 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: Naga River | Statement: [Naga City, hasRiver, Naga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naga River
Context triple: [Naga City, hasRiver, Naga River]
  • A. Naga River chosen
    Naga River is a waterway associated with the Naga region, serving as a local riverine feature in that area.
  • B. Batang Hari River
    The Batang Hari River is the longest river in Sumatra, Indonesia, flowing through several provinces and serving as an important waterway for transportation, agriculture, and local communities.
  • C. Sei River
    The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
  • D. Nam Ngum River
    The Nam Ngum River is a significant river in Laos known for its large hydropower dam and reservoir, which play a key role in the country’s electricity production and irrigation.
  • E. Bang Pakong River
    The Bang Pakong River is a significant river in eastern Thailand that flows through Chachoengsao Province before emptying into the Gulf of Thailand.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:07 p.m.