Triple

T14057490
Position Surface form Disambiguated ID Type / Status
Subject RC Strasbourg Alsace E338255 entity
Predicate shortName P43 FINISHED
Object RCSA E338255 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: RCSA | Statement: [RC Strasbourg Alsace, shortName, RCSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCSA
Context triple: [RC Strasbourg Alsace, shortName, RCSA]
  • A. RCSA chosen
    RCSA is the commonly used abbreviation for RC Strasbourg Alsace, a professional football club based in Strasbourg, France.
  • B. RSCS
    RSCS (Remote Spooling Communications Subsystem) is an IBM networking protocol used on VM systems to transfer files, messages, and print jobs between computers in a store-and-forward manner.
  • C. RSCE
    RSCE is a United Nations regional administrative and support hub based in Entebbe, Uganda, that provides shared services to UN missions and offices in Africa.
  • D. RCDS
    RCDS is a German student organization aligned with Christian democratic values and politics.
  • E. R.C.C.S.
    R.C.C.S. is the abbreviation for the Royal Canadian Corps of Signals, the former communications branch of the Canadian Army responsible for military signaling and telecommunications.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb662c37c8190a629278a97060080 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.