Triple

T17253778
Position Surface form Disambiguated ID Type / Status
Subject Aravis Range E418826 entity
Predicate hasVillage P4011 FINISHED
Object Manigod E1235458 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: Manigod | Statement: [Aravis Range, hasVillage, Manigod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manigod
Context triple: [Aravis Range, hasVillage, Manigod]
  • A. Manigod chosen
    Manigod is a small alpine commune in southeastern France known for its traditional Savoyard character and access to ski and hiking areas in the Aravis mountain range.
  • B. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • C. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • D. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • E. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6b2b1c8190b446ce648ecaad80 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017942ae108190ac6ec61514ba58b4 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.