Triple

T11636104
Position Surface form Disambiguated ID Type / Status
Subject RSME E276522 entity
Predicate hasAbbreviation P43 FINISHED
Object RSME E276522 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: RSME | Statement: [RSME, hasAbbreviation, RSME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSME
Context triple: [RSME, hasAbbreviation, RSME]
  • A. RSME chosen
    RSME is a British Army training establishment that specializes in providing military engineering and technical education to Royal Engineers and other personnel.
  • B. CSME
    CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
  • C. RCEME
    RCEME is the corps of the Canadian Army responsible for the maintenance, repair, and recovery of military vehicles and equipment.
  • D. RAeS
    RAeS is the commonly used abbreviation for the Royal Aeronautical Society, a leading professional institution dedicated to the aerospace and aviation community.
  • E. RMSC
    RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25d80208190b33e95db2e7cc276 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87c0fe4881908dda9c493d958500 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.