Triple

T11152967
Position Surface form Disambiguated ID Type / Status
Subject Andrés Bonifacio E263832 entity
Predicate placeOfBirth P1 FINISHED
Object Tondo, Manila E412840 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: Tondo, Manila | Statement: [Andrés Bonifacio, placeOfBirth, Tondo, Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tondo, Manila
Context triple: [Andrés Bonifacio, placeOfBirth, Tondo, Manila]
  • A. Tondo, Manila, Philippines chosen
    Tondo, Manila, Philippines is a densely populated and historically significant district of Manila known for its working-class communities and vibrant urban culture.
  • B. San Nicolas, Manila
    San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
  • C. Quiapo, Manila
    Quiapo, Manila is a historic district in the heart of Manila known for the Quiapo Church, the Black Nazarene devotion, and its bustling markets and street commerce.
  • D. San Miguel, Manila
    San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
  • E. Pandacan, Manila
    Pandacan, Manila is a riverside district in the city of Manila historically known for its large oil depot, industrial facilities, and working-class residential communities.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e872ffbc8190b8a3bbd912115342 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f165cc34608190b6a00aa120199eff completed April 29, 2026, 1:58 a.m.
Created at: April 8, 2026, 9:28 p.m.