Triple

T1398311
Position Surface form Disambiguated ID Type / Status
Subject XiamenAir E30720 entity
Predicate IATAcode P418 FINISHED
Object MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
 E159137 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: MF | Statement: [XiamenAir, IATAcode, MF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MF
Context triple: [XiamenAir, IATAcode, MF]
  • A. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • 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: MF
Triple: [XiamenAir, IATAcode, MF]
Generated description
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MF
Target entity description: MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
  • A. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c382b6588190833c39ac84fb6139 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde353b148190b9122f1d6d80fbd4 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdea5150c8190ab248df8852bcde6 completed March 8, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69acdefd76708190be68b157e83cfd87 completed March 8, 2026, 2:29 a.m.
Created at: March 1, 2026, 7:59 p.m.