Triple

T8981650
Position Surface form Disambiguated ID Type / Status
Subject Caloocan E214542 entity
Predicate regionCode P208 FINISHED
Object NCR E188578 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: NCR | Statement: [Caloocan, regionCode, NCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NCR
Context triple: [Caloocan, regionCode, NCR]
  • A. NCR chosen
    NCR is the commonly used acronym for the National Capital Region of the Philippines, encompassing Metro Manila and serving as the country’s political, economic, and cultural center.
  • B. NCR
    NCR is an Indian Railways zone headquartered in Prayagraj that manages key rail routes across parts of Uttar Pradesh, Madhya Pradesh, Rajasthan, and Haryana.
  • C. NCR Corporation
    NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
  • D. Diebold
    Diebold is a Germanic given name and surname, historically used as a variant of Theobald.
  • E. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc974f0f8819085c63deb53b95b80 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.