Triple

T9379548
Position Surface form Disambiguated ID Type / Status
Subject Claret Jug E225745 entity
Predicate currentHolderKeepsReplica P88613 FINISHED
Object true 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: true | Statement: [Claret Jug, currentHolderKeepsReplica, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentHolderKeepsReplica
Context triple: [Claret Jug, currentHolderKeepsReplica, true]
  • A. currentHolderStart
    Indicates the point in time when an entity’s current holder or possessor first began holding it.
  • B. currentFirstHolder
    Indicates that the subject is the entity that currently holds or possesses the object before any subsequent transfer or change of holder.
  • C. originalHolder
    Indicates that an entity is the initial possessor or owner of another entity before any transfer, change, or reassignment occurs.
  • D. hasCurrentHolder
    Indicates that a specified entity is the present holder, possessor, or occupant of another entity (such as a position, title, asset, or object).
  • E. lastHolder
    Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
  • F. None of above. chosen

Provenance (4 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50bb49bc8190bdad23e120755ac7 completed April 1, 2026, 5:07 p.m.
PD Predicate disambiguation batch_69cca53bd6ec81909bf403ce304e5c08 completed April 1, 2026, 4:55 a.m.
PDg Predicate description generation batch_69cca89b3368819087a3d69270c1f185 completed April 1, 2026, 5:09 a.m.
Created at: March 30, 2026, 7:44 p.m.