Triple

T152385
Position Surface form Disambiguated ID Type / Status
Subject New Delhi E3459 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DL E2370 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: DL | Statement: [New Delhi, vehicleRegistrationCode, DL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DL
Context triple: [New Delhi, vehicleRegistrationCode, DL]
  • A. DL chosen
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • B. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • C. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • D. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • E. DS
    DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25810799c8190a515a39169126e46 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93bbd508190b81527bd95c6e5f4 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.