Triple

T4429384
Position Surface form Disambiguated ID Type / Status
Subject Province of Cebu E95287 entity
Predicate hasMunicipality P847 FINISHED
Object Carcar E261526 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: Carcar | Statement: [Province of Cebu, hasMunicipality, Carcar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carcar
Context triple: [Province of Cebu, hasMunicipality, Carcar]
  • A. Carcar City chosen
    Carcar City is a component city in the southern part of Cebu province in the Philippines, known for its heritage houses and local delicacies such as chicharrón.
  • B. Certa Cito
    Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
  • C. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • D. Biqueli
    Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
  • E. Fiat Panda
    The Fiat Panda is a popular city car produced by Italian automaker Fiat, known for its compact size, practicality, and affordability.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35568767c819084d5e18b56a4745e completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136caa248190a84423cede1908c3 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.