Triple

T22954411
Position Surface form Disambiguated ID Type / Status
Subject Tarazona E570114 entity
Predicate locatedNear P294 FINISHED
Object Moncayo Massif 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: Moncayo Massif | Statement: [Tarazona, locatedNear, Moncayo Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moncayo Massif
Context triple: [Tarazona, locatedNear, Moncayo Massif]
  • A. Moncayo chosen
    Moncayo is a prominent mountain in northeastern Spain, known for being the highest peak of the Iberian System and a popular destination for hiking and nature tourism.
  • B. Mount Anacuao
    Mount Anacuao is a prominent mountain peak in the Philippines, notable as the loftiest summit of the Sierra Madre range.
  • C. Guayabetal
    Guayabetal is a municipality located in the Oriente Province of Colombia, known for its mountainous terrain and rural character.
  • D. Mount Sibayak
    Mount Sibayak is an active stratovolcano in North Sumatra, Indonesia, known for its accessible crater, geothermal vents, and popular hiking trails near the town of Berastagi.
  • E. Mount Isarog
    Mount Isarog is a prominent, forested stratovolcano in the Bicol Region of southern Luzon in the Philippines, known for its rich biodiversity and hiking trails.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181ef7db4819093ab8117ed53c174 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:46 p.m.