Triple

T11070989
Position Surface form Disambiguated ID Type / Status
Subject Order of National Scientists of the Philippines E261743 entity
Predicate postNominals P1610 FINISHED
Object O.N.S.
O.N.S. is the post-nominal title used by individuals who have been conferred the rank of National Scientist in the Philippines.
 E903300 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: O.N.S. | Statement: [Order of National Scientists of the Philippines, postNominals, O.N.S.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: O.N.S.
Context triple: [Order of National Scientists of the Philippines, postNominals, O.N.S.]
  • A. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • B. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • C. ONS
    ONS is the abbreviation for the Object Naming Service, a system used to assign and resolve unique identifiers for objects in distributed computing environments.
  • D. ONZ
    ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
  • E. ONN
    ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • 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: O.N.S.
Triple: [Order of National Scientists of the Philippines, postNominals, O.N.S.]
Generated description
O.N.S. is the post-nominal title used by individuals who have been conferred the rank of National Scientist in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: O.N.S.
Target entity description: O.N.S. is the post-nominal title used by individuals who have been conferred the rank of National Scientist in the Philippines.
  • A. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • B. ONS
    ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
  • C. ONS
    ONS is the abbreviation for the Object Naming Service, a system used to assign and resolve unique identifiers for objects in distributed computing environments.
  • D. ONZ
    ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
  • E. ONN
    ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79922e48c81909adb161e66f47474 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8bfb0c88190be27f5ce09b02c8b completed April 18, 2026, 6:09 p.m.
NEDg Description generation batch_69e3cae07b648190b4c0d2514712d6bd completed April 18, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf1f508c81909b4ca8131b7fc9ee completed April 18, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:26 p.m.