Triple

T13706122
Position Surface form Disambiguated ID Type / Status
Subject Naga Airport E328645 entity
Predicate IATAcode P418 FINISHED
Object WNP
WNP is the IATA airport code for Naga Airport, a domestic airport serving the city of Naga in the Philippines.
E1054954 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: WNP | Statement: [Naga Airport, IATAcode, WNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNP
Context triple: [Naga Airport, IATAcode, WNP]
  • A. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • B. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • C. NWP
    NWP is the National Rail station code for Northwick Park railway station in London, England.
  • D. NWP
    NWP is an acronym for the National Woman's Party, a key American organization that fought for women's suffrage and equal rights in the early 20th century.
  • E. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • 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: WNP
Triple: [Naga Airport, IATAcode, WNP]
Generated description
WNP is the IATA airport code for Naga Airport, a domestic airport serving the city of Naga in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WNP
Target entity description: WNP is the IATA airport code for Naga Airport, a domestic airport serving the city of Naga in the Philippines.
  • A. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • B. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • C. NWP
    NWP is the National Rail station code for Northwick Park railway station in London, England.
  • D. NWP
    NWP is an acronym for the National Woman's Party, a key American organization that fought for women's suffrage and equal rights in the early 20th century.
  • E. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.