Triple

T2566577
Position Surface form Disambiguated ID Type / Status
Subject Capiz E57364 entity
Predicate capital P234 FINISHED
Object Roxas City E250505 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: Roxas City | Statement: [Capiz, capital, Roxas City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roxas City
Context triple: [Capiz, capital, Roxas City]
  • A. Roxas City chosen
    Roxas City is a coastal city in the Philippines known as the "Seafood Capital of the Philippines" and serves as the capital of Capiz province in the Western Visayas region.
  • B. Lapu-Lapu City
    Lapu-Lapu City is a highly urbanized city in the province of Cebu in the Philippines, known for its historical significance as the site of the Battle of Mactan and as a major tourism and economic hub.
  • C. Cebu
    Cebu is a major island and province in the central Philippines known for its historic role in Spanish colonization, vibrant urban center Cebu City, and popular beach and dive tourism.
  • D. Santa Cruz, Manila
    Santa Cruz, Manila is a historic commercial and residential district in the city of Manila, Philippines, known for its busy streets, old churches, and proximity to the city’s traditional Chinatown area.
  • E. Cavite City
    Cavite City is a coastal urban center in the province of Cavite in the Philippines, historically significant as a former Spanish colonial port and naval base near Metro Manila.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d2bfe788190b629ccbf96f8d98d completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:48 p.m.