Triple

T7147174
Position Surface form Disambiguated ID Type / Status
Subject Mahé E166597 entity
Predicate namedAfter P63 FINISHED
Object Mahé River E646015 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: Mahé River | Statement: [Mahé, namedAfter, Mahé River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahé River
Context triple: [Mahé, namedAfter, Mahé River]
  • A. Mahé River chosen
    The Mahé River is a coastal waterway in the Indian state of Kerala that flows into the Arabian Sea near the town of Mahé, historically part of French India.
  • B. Artibonite River
    The Artibonite River is the longest and most significant river on the island of Hispaniola, flowing through both Haiti and the Dominican Republic and serving as a vital source of water, irrigation, and hydroelectric power.
  • C. Falémé River
    The Falémé River is a significant West African river that flows through Guinea, Mali, and Senegal before joining the Senegal River.
  • D. Isiboro River
    The Isiboro River is a waterway in central Bolivia that flows through the biodiverse Isiboro Sécure National Park and Indigenous Territory, supporting its ecosystems and local communities.
  • E. Betsiboka River
    The Betsiboka River is a prominent river in northwestern Madagascar, noted for its striking red-colored waters caused by heavy sediment from intense soil erosion.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d4f3388190941f03fd80b0c223 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8ee0244819084d5dfb3ee64149b completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:46 p.m.