Triple

T18078067
Position Surface form Disambiguated ID Type / Status
Subject Back Mountain E432609 entity
Predicate locatedIn P40 FINISHED
Object Huangshan Mountain range 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: Huangshan Mountain range | Statement: [Back Mountain, locatedIn, Huangshan Mountain range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangshan Mountain range
Context triple: [Back Mountain, locatedIn, Huangshan Mountain range]
  • A. Huangshan chosen
    Huangshan is a famous mountain range in eastern China renowned for its dramatic granite peaks, ancient pine trees, hot springs, and sea-of-clouds scenery, and is a UNESCO World Heritage Site.
  • B. Wuling Mountains
    The Wuling Mountains are a major mountain range in south-central China known for their dramatic karst landscapes, deep gorges, and rich ethnic and ecological diversity.
  • C. Wuling Mountain
    Wuling Mountain is a prominent peak in northern China known as the highest summit of the Yan Mountains range.
  • D. Zao Mountains
    Zao Mountains is a volcanic mountain range in northeastern Japan known for its ski resorts, hot springs, and the crater lake Okama.
  • E. Wuyi Mountains
    The Wuyi Mountains are a scenic mountain range in southeastern China renowned for their dramatic river gorges, biodiversity, and production of famous oolong teas.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.