Triple

T13172729
Position Surface form Disambiguated ID Type / Status
Subject Brașov E313017 entity
Predicate knownFor P22 FINISHED
Object Tâmpa Mountain E1061053 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: Tâmpa Mountain | Statement: [Brașov, knownFor, Tâmpa Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tâmpa Mountain
Context triple: [Brașov, knownFor, Tâmpa Mountain]
  • A. Tâmpa Mountain chosen
    Tâmpa Mountain is a prominent forested peak rising above the city of Brașov in central Romania, known for its panoramic views, hiking trails, and the large "Brașov" sign on its slope.
  • B. Tara Mountain
    Tara Mountain is a forested mountain massif in western Serbia, renowned for its national park, deep Drina River canyon, and rich biodiversity.
  • C. Tallman Mountain
    Tallman Mountain is a small ridge in Rockland County, New York, overlooking the Hudson River and forming the natural feature around which Tallman Mountain State Park is centered.
  • D. Gray Mountain
    Gray Mountain is a legal thriller novel by John Grisham that follows a young lawyer uncovering corruption and environmental crimes in a small Appalachian coal town.
  • E. Regal Mountain
    Regal Mountain is a prominent high peak in Alaska’s Wrangell Mountains, known for its extensive glaciation and remote, rugged terrain.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a022308f26081909d9c77d8327fee8e completed May 11, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:13 p.m.