Triple

T6909513
Position Surface form Disambiguated ID Type / Status
Subject Multinational Force and Observers E159894 entity
Predicate shortName P43 FINISHED
Object MFO
MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
 E628000 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: MFO | Statement: [Multinational Force and Observers, shortName, MFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MFO
Context triple: [Multinational Force and Observers, shortName, MFO]
  • A. MfS
    MfS was the official state security and intelligence service of the former East Germany, widely known for its extensive surveillance and repression of the population.
  • B. MFS
    MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
  • C. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • D. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • E. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • 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: MFO
Triple: [Multinational Force and Observers, shortName, MFO]
Generated description
MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MFO
Target entity description: MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
  • A. MfS
    MfS was the official state security and intelligence service of the former East Germany, widely known for its extensive surveillance and repression of the population.
  • B. MFS
    MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
  • C. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • D. MF
    MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • E. MF
    MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c00e948190b103a2b2a2738bb1 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c749076f6c819088b0b40dd3e208b0 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c74c274258819099913ac5610730ac completed March 28, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69c74cca47b88190867550802db43ef0 completed March 28, 2026, 3:36 a.m.
Created at: March 27, 2026, 2:25 p.m.