Triple

T6653493
Position Surface form Disambiguated ID Type / Status
Subject Opole E150880 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object OPO E150880 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: OPO | Statement: [Opole, hasVehicleRegistrationCode, OPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPO
Context triple: [Opole, hasVehicleRegistrationCode, OPO]
  • A. OPO chosen
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • B. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • C. OPA
    OPA is a high-performance computing interconnect architecture developed by Intel to provide low-latency, high-bandwidth communication in large-scale clusters and supercomputers.
  • D. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • E. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b047eb688190bca86be98ac25e39 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefd800c8190806cf3dff204ca01 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.