Triple

T19764363
Position Surface form Disambiguated ID Type / Status
Subject Wau Airfield E474712 entity
Predicate hasIATACode P2569 FINISHED
Object WUG
WUG is the IATA airport code for Wau Airfield, a regional airport serving the town of Wau in Papua New Guinea.
 E97823 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: WUG | Statement: [Wau Airfield, hasIATACode, WUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WUG
Context triple: [Wau Airfield, hasIATACode, WUG]
  • A. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • B. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • 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: WUG
Triple: [Wau Airfield, hasIATACode, WUG]
Generated description
WUG is the IATA airport code for Wau Airfield, a regional airport serving the town of Wau in Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WUG
Target entity description: WUG is the IATA airport code for Wau Airfield, a regional airport serving the town of Wau in Papua New Guinea.
  • A. WUG chosen
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • B. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • C. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • F. None of above.

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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65321a35c819084556118ad4ef1ee completed April 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd6e35248190a53efc6f2c4eda89 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be323d8c819091566255921e4d4d completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bef941a08190bd4b1958afe199fa completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.