Triple

T6660084
Position Surface form Disambiguated ID Type / Status
Subject Pamplona E151451 entity
Predicate airportIATACode P418 FINISHED
Object PNA
PNA is the IATA airport code for Pamplona Airport, which serves the city of Pamplona in northern Spain.
E609358 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: PNA | Statement: [Pamplona, airportIATACode, PNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNA
Context triple: [Pamplona, airportIATACode, PNA]
  • A. PNA
    PNA is an acronym for the Palestinian National Authority, the interim self-governing body established to administer parts of the West Bank and Gaza Strip.
  • B. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • C. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. PAN
    PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
  • 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: PNA
Triple: [Pamplona, airportIATACode, PNA]
Generated description
PNA is the IATA airport code for Pamplona Airport, which serves the city of Pamplona in northern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PNA
Target entity description: PNA is the IATA airport code for Pamplona Airport, which serves the city of Pamplona in northern Spain.
  • A. PNA
    PNA is an acronym for the Palestinian National Authority, the interim self-governing body established to administer parts of the West Bank and Gaza Strip.
  • B. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • C. NPA
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • D. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • E. PAN
    PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b071cc6c81909d7df1841c645661 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0738a88190802abaeb0ab0a927 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a2a150819091ec6e6d2905abcb completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1344dd4819096c1d3e216320c4d completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:02 p.m.