Triple

T4326581
Position Surface form Disambiguated ID Type / Status
Subject Castellón de la Plana E96646 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CS E88834 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: CS | Statement: [Castellón de la Plana, vehicleRegistrationCode, CS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CS
Context triple: [Castellón de la Plana, vehicleRegistrationCode, CS]
  • A. CS chosen
    CS is a common abbreviation used to refer to the city of College Station, Texas.
  • B. CS
    CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
  • C. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • D. CSE
    CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513020f481909ff2fec3934f3002 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.