Triple

T15705919
Position Surface form Disambiguated ID Type / Status
Subject Cenotaph E380708 entity
Predicate hasNoNamesInscribed P120379 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: [Cenotaph, hasNoNamesInscribed, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNoNamesInscribed
Context triple: [Cenotaph, hasNoNamesInscribed, true]
  • A. hasNumberOfNamesInscribed
    Indicates the quantity of distinct names that are inscribed on a given entity.
  • B. hasGraveInscription
    Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
  • C. hasTypicalInscriptionMethod
    Indicates the usual or characteristic method by which inscriptions are applied or created on an object or surface.
  • D. isInscribedOn
    Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
  • E. hasInscriptions
    Indicates that an object, surface, or artifact bears written, carved, or engraved inscriptions on it.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0051d639481909a10614e8f83e659 completed April 15, 2026, 9:37 p.m.
PDg Predicate description generation batch_69e0b4d01c9c81909f6b611e8144c838 completed April 16, 2026, 10:07 a.m.
Created at: April 10, 2026, 4:45 a.m.