Triple

T12876277
Position Surface form Disambiguated ID Type / Status
Subject María de la Caridad Castro E307976 entity
Predicate givenName P17 FINISHED
Object Caridad E900341 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: Caridad | Statement: [María de la Caridad Castro, givenName, Caridad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caridad
Context triple: [María de la Caridad Castro, givenName, Caridad]
  • A. Caridad chosen
    Caridad is a coastal urban barangay in Cavite City, Philippines, known for its residential communities and local commercial activity.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • D. Esperanza
    Esperanza is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island-town character.
  • E. Milagros
    Milagros is a coastal municipality in the province of Masbate in the Philippines, known for its fishing communities and rural agricultural economy.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f97f9c81908c75259a4cab1d3c completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.