Triple

T9695863
Position Surface form Disambiguated ID Type / Status
Subject Fed. 1 E234647 entity
Predicate connectsTo P845 FINISHED
Object Santa Rosalía E217401 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: Santa Rosalía | Statement: [Fed. 1, connectsTo, Santa Rosalía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosalía
Context triple: [Fed. 1, connectsTo, Santa Rosalía]
  • A. Santa Rosalía chosen
    Santa Rosalía is a historic mining town and port on the eastern coast of the Baja California Peninsula in Mexico, known for its French-influenced architecture and copper mining heritage.
  • B. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • C. Doña Remedios Trinidad
    Doña Remedios Trinidad is a landlocked, largely rural municipality in the province of Bulacan in the Philippines, known for its mountainous terrain, forests, and eco-tourism sites.
  • D. Santa Teresa Cora
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • E. Doña Pulido
    Doña Pulido is a member of the Pulido family, likely a matriarchal or respected female figure bearing the traditional honorific "Doña."
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d366c488190bc153c68fef197c2 completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af8990608190a841c1fbdb22eb71 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:17 p.m.