Triple

T2682810
Position Surface form Disambiguated ID Type / Status
Subject MICROSCOPE E57413 entity
Predicate collaboratingInstitution P4257 FINISHED
Object OCA
OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
 E287393 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: OCA | Statement: [MICROSCOPE, collaboratingInstitution, OCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCA
Context triple: [MICROSCOPE, collaboratingInstitution, OCA]
  • A. OCA
    OCA is the commonly used abbreviation for the Orthodox Church in America, an autocephalous Eastern Orthodox Christian church based in North America.
  • B. OCP
    OCP (Operational Camouflage Pattern) is a modern U.S. military camouflage design used across multiple branches for improved concealment in diverse environments.
  • C. OCCA
    OCCA is the acronym for the Oklahoma Court of Criminal Appeals, the highest state court in Oklahoma for criminal cases.
  • D. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • E. OCC
    OCC is the acronym for the Office of the Comptroller of the Currency, the U.S. federal agency that charters, regulates, and supervises national banks and federal savings associations.
  • 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: OCA
Triple: [MICROSCOPE, collaboratingInstitution, OCA]
Generated description
OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCA
Target entity description: OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
  • A. OCA
    OCA is the commonly used abbreviation for the Orthodox Church in America, an autocephalous Eastern Orthodox Christian church based in North America.
  • B. OCP
    OCP (Operational Camouflage Pattern) is a modern U.S. military camouflage design used across multiple branches for improved concealment in diverse environments.
  • C. OCCA
    OCCA is the acronym for the Oklahoma Court of Criminal Appeals, the highest state court in Oklahoma for criminal cases.
  • D. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • E. OCC
    OCC is the acronym for the Office of the Comptroller of the Currency, the U.S. federal agency that charters, regulates, and supervises national banks and federal savings associations.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d602848190b638e417e710a555 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06c7a908190ae3463bf3e204fa6 completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa1196aac81909b25557dff5acf5e completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1a7d9b48190a8b14a7d209e1f26 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.