Triple

T3678118
Position Surface form Disambiguated ID Type / Status
Subject Forlì E78044 entity
Predicate airportIATAcode P418 FINISHED
Object FRL
FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
E379034 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: FRL | Statement: [Forlì, airportIATAcode, FRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRL
Context triple: [Forlì, airportIATAcode, FRL]
  • A. FL
    FL is the standard two-letter United States Postal Service abbreviation for the state of Florida.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • D. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • E. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • 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: FRL
Triple: [Forlì, airportIATAcode, FRL]
Generated description
FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FRL
Target entity description: FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • A. FL
    FL is the standard two-letter United States Postal Service abbreviation for the state of Florida.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • D. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • E. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc46599188190a046eddb0d85c483 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a50d40819081aad0c72bcaee9d completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c451a5048190bfd4675cd17de655 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c494ad80819084d6aa10fe62a63b completed March 14, 2026, 2:14 a.m.
Created at: March 8, 2026, 3:25 p.m.