Triple

T4703619
Position Surface form Disambiguated ID Type / Status
Subject Ofu Airport E104334 entity
Predicate IATAcode P418 FINISHED
Object OFU
OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
 E462898 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: OFU | Statement: [Ofu Airport, IATAcode, OFU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OFU
Context triple: [Ofu Airport, IATAcode, OFU]
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • C. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • D. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • E. UFRO
    UFRO is the commonly used acronym for Universidad de La Frontera, a public university in Temuco, Chile.
  • 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: OFU
Triple: [Ofu Airport, IATAcode, OFU]
Generated description
OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OFU
Target entity description: OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • C. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • D. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • E. UFRO
    UFRO is the commonly used acronym for Universidad de La Frontera, a public university in Temuco, Chile.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d082088190b7fc61a487d7ef2f completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.