Triple
T12957936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaheed Benazirabad Airport |
E310064
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object |
WNS
WNS is the IATA airport code for Shaheed Benazirabad Airport in Sindh, Pakistan.
|
E1014097
|
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: WNS | Statement: [Shaheed Benazirabad Airport, iataCode, WNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNS Context triple: [Shaheed Benazirabad Airport, iataCode, WNS]
-
A.
WNSL
WNSL is the company responsible for owning and operating Wembley Stadium in London, one of the most famous football and events venues in the world.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WUN
WUN is the commonly used abbreviation for Western United FC, a professional soccer club based in Victoria, Australia that competes in the A-League Men.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WST
WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
- 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: WNS Triple: [Shaheed Benazirabad Airport, iataCode, WNS]
Generated description
WNS is the IATA airport code for Shaheed Benazirabad Airport in Sindh, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WNS Target entity description: WNS is the IATA airport code for Shaheed Benazirabad Airport in Sindh, Pakistan.
-
A.
WNSL
WNSL is the company responsible for owning and operating Wembley Stadium in London, one of the most famous football and events venues in the world.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WUN
WUN is the commonly used abbreviation for Western United FC, a professional soccer club based in Victoria, Australia that competes in the A-League Men.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WST
WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2c5bf481908ca6adcfd3354f71 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dddd80819094c80ef405024419 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb8216fc8190a0119d434adf13a5 |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:44 p.m.