Triple

T6123508
Position Surface form Disambiguated ID Type / Status
Subject Baturité E136538 entity
Predicate locatedIn P40 FINISHED
Object Baturité Massif E136538 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: Baturité Massif | Statement: [Baturité, locatedIn, Baturité Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baturité Massif
Context triple: [Baturité, locatedIn, Baturité Massif]
  • A. Baturité chosen
    Baturité is a municipality in the state of Ceará in northeastern Brazil, known for its mountainous terrain and relatively mild climate.
  • B. Batur Caldera
    Batur Caldera is a large volcanic depression in Bali, Indonesia, known for containing Mount Batur and its scenic crater lake within an active volcanic landscape.
  • C. Palandöken
    Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
  • D. Uludağ Mountain
    Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
  • E. Mount Erciyes
    Mount Erciyes is a massive stratovolcano in central Turkey, dominating the landscape near Kayseri and contributing to the geological formation of the Cappadocia region.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c25976081909e0a40e07dff0b8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135abcef08190a899d7ba261ebb04 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.