Triple

T5262087
Position Surface form Disambiguated ID Type / Status
Subject La Louvière E118848 entity
Predicate locatedNear P294 FINISHED
Object Mons E113627 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: Mons | Statement: [La Louvière, locatedNear, Mons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mons
Context triple: [La Louvière, locatedNear, Mons]
  • A. Mons chosen
    Mons is a Belgian town historically significant as the site of a major World War I battle in 1914, where British forces, including the Coldstream Guards, first engaged the German army on the Western Front.
  • B. La Mongie
    La Mongie is a French Pyrenean ski resort village known as a gateway to the Pic du Midi de Bigorre and its observatory.
  • C. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • D. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • E. Montoni
    Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd0c5f48190a1be89314c59f96b completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe85a3f88190ae014b18b1df202e completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.