Triple

T11288174
Position Surface form Disambiguated ID Type / Status
Subject Fort Santiago E267252 entity
Predicate district P2709 FINISHED
Object Intramuros E47789 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: Intramuros | Statement: [Fort Santiago, district, Intramuros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intramuros
Context triple: [Fort Santiago, district, Intramuros]
  • A. Intramuros chosen
    Intramuros is the historic walled city at the heart of Manila, known as the former seat of Spanish colonial government and one of the oldest districts in the Philippines.
  • B. Los Palacios
    Los Palacios is a Cuban town and municipality known for its agricultural activity within Pinar del Río Province.
  • C. San Juan city walls
    The San Juan city walls are massive 16th–18th century fortifications encircling Old San Juan, Puerto Rico, built by the Spanish to defend the colonial port from seaborne attacks.
  • D. Presidio Modelo
    Presidio Modelo is a former Cuban prison complex on Isla de la Juventud, notorious for its panopticon design and for holding political prisoners including Fidel Castro before the Cuban Revolution.
  • E. Castillo
    Castillo is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f165cc34608190b6a00aa120199eff completed April 29, 2026, 1:58 a.m.
Created at: April 8, 2026, 9:32 p.m.