Triple

T4331516
Position Surface form Disambiguated ID Type / Status
Subject European Union outermost regions E96760 entity
Predicate shortName P43 FINISHED
Object OMR
OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
 E431085 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: OMR | Statement: [European Union outermost regions, shortName, OMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OMR
Context triple: [European Union outermost regions, shortName, OMR]
  • A. OMR
    OMR is the official currency code used to represent the Omani rial, the national currency of Oman.
  • B. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • C. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • D. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • E. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • 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: OMR
Triple: [European Union outermost regions, shortName, OMR]
Generated description
OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OMR
Target entity description: OMR refers to the European Union’s outermost regions, which are geographically distant territories fully integrated into the EU and subject to its laws and policies.
  • A. OMR
    OMR is the official currency code used to represent the Omani rial, the national currency of Oman.
  • B. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • C. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • D. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • E. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514dc588819086a4c6d585c1b5b1 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a307388190af4cb98b03e9656d completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d12a54e0819081379fd1ee85914b completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d194975481908b029ab106223c6c completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:13 p.m.