Triple

T20012430
Position Surface form Disambiguated ID Type / Status
Subject Belmont E494620 entity
Predicate plotDeviceLocation P85950 FINISHED
Object caskets containing Portia’s portraits 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: caskets containing Portia’s portraits | Statement: [Belmont, plotDeviceLocation, caskets containing Portia’s portraits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: plotDeviceLocation
Context triple: [Belmont, plotDeviceLocation, caskets containing Portia’s portraits]
  • A. plotLocation
    Indicates the relationship between a creative work and the place or setting where its story or events occur.
  • B. showLocation
    Indicates that one entity displays or reveals the position or place of another entity.
  • C. locationOnDevice chosen
    Indicates that one entity is stored or situated on a particular device.
  • D. objectLocation
    Indicates that one entity is located at, in, or on another entity or spatial region.
  • E. locationInSystem
    Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623773d88190826616a02d3c3e69 completed April 20, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69e54cdddbd48190becc8b2aa5ab4ef9 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:34 p.m.