Triple

T5387283
Position Surface form Disambiguated ID Type / Status
Subject Open Definition E120230 entity
Predicate hasShortName P1354 FINISHED
Object OD
OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
E515107 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: OD | Statement: [Open Definition, hasShortName, OD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OD
Context triple: [Open Definition, hasShortName, OD]
  • A. O
    O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • D. 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.
  • E. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • 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: OD
Triple: [Open Definition, hasShortName, OD]
Generated description
OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OD
Target entity description: OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
  • A. O
    O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • D. 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.
  • E. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f8d81081909174027a4fe640f2 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295542b08190849e48dbf826d9ec completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf2a0aa4608190ad696442aa56dad5 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a64313881908d12d0c27a97927b completed March 21, 2026, 11:31 p.m.
Created at: March 20, 2026, 2:03 p.m.