Triple

T13889020
Position Surface form Disambiguated ID Type / Status
Subject Sub-Divisional Magistrate E333921 entity
Predicate abbreviation P43 FINISHED
Object SDM E333921 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: SDM | Statement: [Sub-Divisional Magistrate, abbreviation, SDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SDM
Context triple: [Sub-Divisional Magistrate, abbreviation, SDM]
  • A. SDM
    SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
  • B. SDM chosen
    SDM refers to a Sub-Divisional Magistrate, a key administrative and executive officer in charge of governance, revenue, and law-and-order functions within a sub-division of a district in India.
  • C. SDM
    SDM is the IATA airport code for Brown Field Municipal Airport, a public airport serving the San Diego, California area.
  • D. SMDS
    SMDS is the abbreviated name for the U.S. Army Space and Missile Defense School, a training institution focused on space and missile defense operations.
  • E. SDMC
    SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a281e481908a6184bcd7f59c03 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c718140c8190a625da87231ee814 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.