Triple

T18002900
Position Surface form Disambiguated ID Type / Status
Subject Mount Data National Park E430671 entity
Predicate locatedOn P40 FINISHED
Object Mount Data NE NERFINISHED

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: Mount Data | Statement: [Mount Data National Park, locatedOn, Mount Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Data
Context triple: [Mount Data National Park, locatedOn, Mount Data]
  • A. Mount Data chosen
    Mount Data is a prominent mountain in the Cordillera Central range of the northern Philippines, known for its cool climate, pine forests, and cultural significance to indigenous communities.
  • B. Dati
    Dati is a surname most notably associated with Rachida Dati, a prominent French politician and former Minister of Justice.
  • C. Datu
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • D. Fordata
    Fordata is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
  • E. Kandata
    Kandata is the central sinner protagonist in Ryūnosuke Akutagawa’s short story “The Spider’s Thread,” known for his brief act of compassion that offers him a chance at salvation from hell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.