Triple

T10038715
Position Surface form Disambiguated ID Type / Status
Subject Wadi ad-Dawasir E205239 entity
Predicate airportIataCode P418 FINISHED
Object WAE
WAE is the IATA airport code for Wadi ad-Dawasir Domestic Airport serving the town of Wadi ad-Dawasir in Saudi Arabia.
 E837210 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: WAE | Statement: [Wadi ad-Dawasir, airportIataCode, WAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAE
Context triple: [Wadi ad-Dawasir, airportIataCode, WAE]
  • A. WAE
    WAE is the National Rail station code for Waterloo East railway station in London, England.
  • B. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • C. AWAE
    AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
  • D. WA2
    WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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: WAE
Triple: [Wadi ad-Dawasir, airportIataCode, WAE]
Generated description
WAE is the IATA airport code for Wadi ad-Dawasir Domestic Airport serving the town of Wadi ad-Dawasir in Saudi Arabia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAE
Target entity description: WAE is the IATA airport code for Wadi ad-Dawasir Domestic Airport serving the town of Wadi ad-Dawasir in Saudi Arabia.
  • A. WAE
    WAE is the National Rail station code for Waterloo East railway station in London, England.
  • B. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • C. AWAE
    AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
  • D. WA2
    WA2 is a postal district within the WA postcode area in northwest England, covering part of Warrington and its surrounding neighborhoods.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283c516708190b3a1c363841787fc completed April 5, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_69d284956730819099e5cd918e722fd8 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:55 p.m.