Triple

T11633621
Position Surface form Disambiguated ID Type / Status
Subject François-Henri de Montmorency E276461 entity
Predicate alsoKnownAs P39 FINISHED
Object duc de Luxembourg E449819 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: duc de Luxembourg | Statement: [François-Henri de Montmorency, alsoKnownAs, duc de Luxembourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: duc de Luxembourg
Context triple: [François-Henri de Montmorency, alsoKnownAs, duc de Luxembourg]
  • A. duc de Luxembourg chosen
    The duc de Luxembourg was a prominent French noble title historically associated with high-ranking aristocrats and influential military leaders in France.
  • B. Mobilis Vaud
    Mobilis Vaud is the integrated public transport fare network for the canton of Vaud in Switzerland, covering trains, buses, and other regional transit services under a unified ticketing system.
  • C. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • D. Alsatia Zevo
    Alsatia Zevo is a quirky, eccentric character from the film "Toys," known for her childlike demeanor and offbeat, whimsical personality.
  • E. Traton
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25c0b00819095898d2b2445ecfb completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87b12044819098a858edb2b16689 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.