Triple

T17731176
Position Surface form Disambiguated ID Type / Status
Subject I Saw the Fall of the Philippines E442587 entity
Predicate setting P1957 FINISHED
Object Corregidor 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: Corregidor | Statement: [I Saw the Fall of the Philippines, setting, Corregidor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corregidor
Context triple: [I Saw the Fall of the Philippines, setting, Corregidor]
  • A. Corregidor chosen
    Corregidor is a small fortified island at the entrance of Manila Bay in the Philippines, historically significant as a major Allied stronghold and site of intense fighting during World War II.
  • B. Der Corregidor
    Der Corregidor is a comic opera by Austrian composer Hugo Wolf, based on Pedro Antonio de Alarcón’s novella "El sombrero de tres picos."
  • C. Corregidor of Santiago
    Corregidor of Santiago was a colonial-era administrative and judicial office responsible for governing the city of Santiago in the Captaincy General of Chile under Spanish rule.
  • D. Barrigada
    Barrigada is a central village on the island of Guam that serves as a key residential and transportation hub.
  • E. Sangley Point
    Sangley Point is a peninsula in Cavite, Philippines, historically significant as a former U.S. naval base and now used for Philippine military and aviation facilities.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e69f288190900027641952f198 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.