Triple

T1206384
Position Surface form Disambiguated ID Type / Status
Subject SLSDC E25897 entity
Predicate abbreviation P43 FINISHED
Object SLSDC E25897 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: SLSDC | Statement: [SLSDC, abbreviation, SLSDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLSDC
Context triple: [SLSDC, abbreviation, SLSDC]
  • A. SLSDC chosen
    SLSDC is a U.S. federal agency responsible for operating and maintaining the American portion of the Saint Lawrence Seaway, a key commercial shipping route between the Great Lakes and the Atlantic Ocean.
  • B. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • C. SLV
    SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
  • D. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc314c88190b1b5953834bfce7b completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3f4c508190bdc3d436d393daf9 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.