Triple

T15662962
Position Surface form Disambiguated ID Type / Status
Subject Vacheron Constantin E376610 entity
Predicate Reference 57260 P8607 FINISHED
Object highly complicated pocket watch LITERAL 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: highly complicated pocket watch | Statement: [Vacheron Constantin, Reference 57260, highly complicated pocket watch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Reference 57260
Context triple: [Vacheron Constantin, Reference 57260, highly complicated pocket watch]
  • A. modelNumber chosen
    Indicates that one entity is the specific model identifier or code assigned to another entity (such as a product or device).
  • B. hasPartNumber
    Indicates that one entity is assigned or associated with a specific part number used to identify it within a catalog, system, or inventory.
  • C. eraReference
    Indicates a temporal relationship where something is associated with, situated in, or characterized by a particular historical era or time period.
  • D. B_5
    Indicates a relationship where one entity is associated with or classified under a specific category, group, or type represented by the other entity.
  • E. refurbishedIn
    Indicates that an entity has undergone restoration, repair, or renovation at a specific time or during a particular period.
  • F. None of above.

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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:15 a.m.