Triple

T15084911
Position Surface form Disambiguated ID Type / Status
Subject Tabouret Berger E360246 entity
Predicate canAlsoServeAs P2819 FINISHED
Object side table 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: side table | Statement: [Tabouret Berger, canAlsoServeAs, side table]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canAlsoServeAs
Context triple: [Tabouret Berger, canAlsoServeAs, side table]
  • A. alsoServesAs
    Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
  • B. canAlsoBe chosen
    Indicates that something has an additional possible state, role, or classification beyond its primary one.
  • C. alsoServedBy
    Indicates that the same service, function, or role is additionally provided or fulfilled by another entity alongside the primary one.
  • D. alsoServes
    Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
  • E. possiblyServedAs
    Indicates that an entity may have held or fulfilled a particular role, position, or function, but this service is uncertain or not definitively confirmed.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00275cfa88190a13fe20b585d9fcb completed April 15, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69deb9645b9c8190a5712456dbd78029 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:03 a.m.