Triple

T19147784
Position Surface form Disambiguated ID Type / Status
Subject Carmencita Franco E468725 entity
Predicate familyName P18 FINISHED
Object Polo NE NERFINISHED

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: Polo | Statement: [Carmencita Franco, familyName, Polo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polo
Context triple: [Carmencita Franco, familyName, Polo]
  • A. Polo chosen
    Polo is the surname of the Venetian merchant and explorer Marco Polo, famed for his extensive travels through Asia and detailed accounts of the Mongol Empire.
  • B. Polo II
    Polo II is a campus area of the University of Coimbra in Portugal, known for housing several science and technology faculties and research facilities.
  • C. Sagol Kangjei (traditional polo)
    Sagol Kangjei is the traditional horseback ball game of the Meitei people of Manipur, widely regarded as an ancestral form of modern polo.
  • D. Polo Fields
    Polo Fields is a large multi-use athletic and event venue in San Francisco’s Golden Gate Park, historically used for polo and now popular for running, cycling, concerts, and recreational sports.
  • E. Polo Club
    Polo Club is an early name used by the American hip-hop trio Migos, known for their influential role in modern trap music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97a79a48190b243553023bf9081 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.