Triple

T4960997
Position Surface form Disambiguated ID Type / Status
Subject Manuela Sáenz E111405 entity
Predicate residence P75 FINISHED
Object Paita E482244 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: Paita | Statement: [Manuela Sáenz, residence, Paita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paita
Context triple: [Manuela Sáenz, residence, Paita]
  • A. Paita chosen
    Paita is a coastal port city in northwestern Peru, known historically as a Pacific trading hub and later as the place where independence figure Manuela Sáenz spent her final years in exile.
  • B. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • C. Ahipara
    Ahipara is a small coastal settlement at the southern end of Ninety Mile Beach in New Zealand, known for surfing, fishing, and its scenic dunes.
  • D. Kapingamarangi
    Kapingamarangi is a remote Micronesian atoll whose people and culture are classified as Polynesian outliers despite its location outside the main Polynesian Triangle.
  • E. Comerío
    Comerío is a mountainous municipality in central Puerto Rico known for its scenic landscapes, coffee cultivation, and traditional festivals.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71dc06a48190827d54a5c0351aab completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89fa42a081909055b6c30505e6b2 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:32 p.m.