Triple

T19288601
Position Surface form Disambiguated ID Type / Status
Subject Nendaz E482378 entity
Predicate nearCity P350 FINISHED
Object Sion 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: Sion | Statement: [Nendaz, nearCity, Sion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sion
Context triple: [Nendaz, nearCity, Sion]
  • A. Sion chosen
    Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
  • B. Sion
    Sion is a residential and commercial neighborhood in Mumbai, India, known as a key junction connecting the city's central and suburban areas.
  • C. Sionnan
    Sionnan is a figure in Irish mythology associated with the River Shannon, often regarded as the river’s eponymous goddess or origin spirit.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Sirion
    Sirion is one of the greatest rivers of Middle-earth in J.R.R. Tolkien’s legendarium, flowing from the northern regions of Beleriand to the sea and playing a central role in many events of the First Age.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc043fa481909bbe281a70fb508e completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.