Triple

T10777963
Position Surface form Disambiguated ID Type / Status
Subject Order of the Niger E254243 entity
Predicate hasPostNominalLetters P1804 FINISHED
Object MON E886275 NE FINISHED

How this triple was built (2 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: MON | Statement: [Order of the Niger, hasPostNominalLetters, MON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MON
Context triple: [Order of the Niger, hasPostNominalLetters, MON]
  • A. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • B. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • C. MON
    MON is the three-letter International Olympic Committee country code representing Monaco in Olympic competitions.
  • D. MON chosen
    MON is the post-nominal abbreviation used to denote recipients of Nigeria’s national honor, the Order of the Niger.
  • E. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69de84c925088190922b9979cf77d01b completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:16 p.m.