Triple

T15542296
Position Surface form Disambiguated ID Type / Status
Subject Oltenia E370507 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object OT E911192 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: OT | Statement: [Oltenia, hasVehicleRegistrationCode, OT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OT
Context triple: [Oltenia, hasVehicleRegistrationCode, OT]
  • A. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • B. OT
    OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
  • C. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • D. OT chosen
    OT is the vehicle registration code used on license plates for vehicles registered in Olt County, Romania.
  • E. OTT
    OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.