Triple

T16914708
Position Surface form Disambiguated ID Type / Status
Subject Formello E410291 entity
Predicate hasPatronSaint P8397 FINISHED
Object Saint Lawrence E57562 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: Saint Lawrence | Statement: [Formello, hasPatronSaint, Saint Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Lawrence
Context triple: [Formello, hasPatronSaint, Saint Lawrence]
  • A. Saint Lawrence chosen
    Saint Lawrence is a Christian martyr and deacon of the early Church in Rome, venerated as a saint and especially associated with acts of charity and his legendary death by martyrdom.
  • B. La Rive
    La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
  • C. The St. James
    The St. James is a prominent residential skyscraper in Center City Philadelphia known for its modern glass design and views over the city’s historic core.
  • D. Rance
    Rance is a masculine given name most notably borne by American actor Rance Howard.
  • E. Rance
    Rance is a river in northwestern France known for flowing through Brittany and hosting the Rance Tidal Power Station near Saint-Malo.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.