Triple

T13572852
Position Surface form Disambiguated ID Type / Status
Subject Enugu East E324206 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ENU E1013488 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: ENU | Statement: [Enugu East, vehicleRegistrationCode, ENU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENU
Context triple: [Enugu East, vehicleRegistrationCode, ENU]
  • A. ENU chosen
    ENU is the IATA airport code for Akanu Ibiam International Airport serving Enugu in southeastern Nigeria.
  • B. NU
    NU is the commonly used abbreviation for the University of Nebraska system, a public university network in the U.S. state of Nebraska.
  • C. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • D. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • E. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb827d48190958e5710d554cd04 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.