Triple

T34866198
Position Surface form Disambiguated ID Type / Status
Subject tumba de Amelia Goyri (La Milagrosa) E1005015 entity
Predicate tieneInscripciones P16756 FINISHED
Object inscripciones funerarias en español 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: inscripciones funerarias en español | Statement: [tumba de Amelia Goyri (La Milagrosa), tieneInscripciones, inscripciones funerarias en español]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieneInscripciones
Context triple: [tumba de Amelia Goyri (La Milagrosa), tieneInscripciones, inscripciones funerarias en español]
  • A. hasInscriptions chosen
    Indicates that an object, surface, or artifact bears written, carved, or engraved inscriptions on it.
  • B. hasStudentEnrollment
    Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
  • C. enrolledIn
    Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
  • D. hasStudentParticipantsFrom
    Indicates that an activity, event, or program includes student participants originating from a specified source, such as an institution, region, or group.
  • E. hasParticipants
    Indicates that an event, activity, or situation involves one or more entities as participants in it.
  • 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4 p.m.