Triple

T7696975
Position Surface form Disambiguated ID Type / Status
Subject FNRS-1 E174393 entity
Predicate followedBy P78 FINISHED
Object FNRS-2
FNRS-2 is a Belgian National Fund for Scientific Research submersible that succeeded the earlier FNRS-1 in advancing deep-sea exploration.
 E682221 NE FINISHED

How this triple was built (4 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: FNRS-2 | Statement: [FNRS-1, followedBy, FNRS-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FNRS-2
Context triple: [FNRS-1, followedBy, FNRS-2]
  • A. FRNs
    FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
  • B. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • C. FNS
    FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
  • D. FNSP
    FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
  • E. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FNRS-2
Triple: [FNRS-1, followedBy, FNRS-2]
Generated description
FNRS-2 is a Belgian National Fund for Scientific Research submersible that succeeded the earlier FNRS-1 in advancing deep-sea exploration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FNRS-2
Target entity description: FNRS-2 is a Belgian National Fund for Scientific Research submersible that succeeded the earlier FNRS-1 in advancing deep-sea exploration.
  • A. FRNs
    FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
  • B. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • C. FNS
    FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
  • D. FNSP
    FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
  • E. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • F. None of above. chosen

Provenance (5 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702693ee8819080a483c347710b24 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acaee2c481909efa30125e8ca890 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8add4153081909f8d77b019a64a2f completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8ae60b30881908c100ae489d6577e completed March 29, 2026, 4:45 a.m.
Created at: March 27, 2026, 4:03 p.m.