Triple

T10777936
Position Surface form Disambiguated ID Type / Status
Subject Order of the Niger E254243 entity
Predicate abbreviation P43 FINISHED
Object OON
OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
 E886274 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: OON | Statement: [Order of the Niger, abbreviation, OON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OON
Context triple: [Order of the Niger, abbreviation, OON]
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. 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.
  • C. ONZ
    ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
  • D. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • E. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • 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: OON
Triple: [Order of the Niger, abbreviation, OON]
Generated description
OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OON
Target entity description: OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
  • A. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • B. 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.
  • C. ONZ
    ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
  • D. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • E. O.N.S.
    O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c18c3c819089d49e3e4585049e completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55daf52c8190aee3bca39cdc5d55 completed April 14, 2026, 2:57 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:16 p.m.