Triple

T3429013
Position Surface form Disambiguated ID Type / Status
Subject Summit smartwatch line E72292 entity
Predicate brandSegment P16877 FINISHED
Object Montblanc watches E13779 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: Montblanc watches | Statement: [Summit smartwatch line, brandSegment, Montblanc watches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montblanc watches
Context triple: [Summit smartwatch line, brandSegment, Montblanc watches]
  • A. Montblanc chosen
    Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
  • B. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • C. Hublot
    Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
  • D. Rolex
    Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
  • E. TAG Heuer
    TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9854ca081909e637adcac46a27c completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4d1c7188190b0f98fdc51e6684a completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:15 p.m.