Triple

T2346752
Position Surface form Disambiguated ID Type / Status
Subject Yap State E45147 entity
Predicate ISO3166-2 P189 FINISHED
Object FM-YAP
FM-YAP is the ISO 3166-2 subdivision code assigned to Yap State in the Federated States of Micronesia.
E259413 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: FM-YAP | Statement: [Yap State, ISO3166-2, FM-YAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FM-YAP
Context triple: [Yap State, ISO3166-2, FM-YAP]
  • A. YFM
    YFM is the abbreviated name commonly used for Yokohama F. Marinos, a professional football club based in Yokohama, Japan.
  • B. YHM
    YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • 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: FM-YAP
Triple: [Yap State, ISO3166-2, FM-YAP]
Generated description
FM-YAP is the ISO 3166-2 subdivision code assigned to Yap State in the Federated States of Micronesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FM-YAP
Target entity description: FM-YAP is the ISO 3166-2 subdivision code assigned to Yap State in the Federated States of Micronesia.
  • A. YFM
    YFM is the abbreviated name commonly used for Yokohama F. Marinos, a professional football club based in Yokohama, Japan.
  • B. YHM
    YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9629f4908190ba3c51b7d12be4e4 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae99f64ab48190b5760eb75276342c completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9ad9706081909593ca75126c43e8 completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:52 p.m.