Triple

T3283189
Position Surface form Disambiguated ID Type / Status
Subject Barca E68919 entity
Predicate hasNotableDescendant P17517 FINISHED
Object Mago Barca E71285 NE 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: Mago Barca | Statement: [Barca, hasNotableDescendant, Mago Barca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mago Barca
Context triple: [Barca, hasNotableDescendant, Mago Barca]
  • A. Mago Barca chosen
    Mago Barca was a Carthaginian general of the Barcid family who played key military roles in the Second Punic War alongside his more famous brother Hannibal.
  • B. Hasdrubal Barca
    Hasdrubal Barca was a Carthaginian general of the Barcid family who played a key role in Carthage’s campaigns in Iberia during the Second Punic War.
  • C. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • D. Blasco
    Blasco is a masculine given name of Spanish origin, historically borne by notable figures such as colonial administrators and writers.
  • E. Flaminio
    Flaminio is a central district of Rome known for its cultural institutions, modern architecture, and proximity to the Tiber River and major city landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03621608190a2b7a6b38d6559da completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6c0aec81908654933a4fa38997 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:10 p.m.