Triple
T5283580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngurah Rai International Airport |
E119556
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
WADD
WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
|
E508408
|
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: WADD | Statement: [Ngurah Rai International Airport, ICAOcode, WADD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WADD Context triple: [Ngurah Rai International Airport, ICAOcode, WADD]
-
A.
DWA
DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
-
B.
WBD
WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
-
C.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
D.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
-
E.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
- 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: WADD Triple: [Ngurah Rai International Airport, ICAOcode, WADD]
Generated description
WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WADD Target entity description: WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
-
A.
DWA
DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
-
B.
WBD
WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
-
C.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
D.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
-
E.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c8d2bc8190840699e5a526b756 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e6200881908da623e8548ec051 |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf09d1b9088190a7bf560c8d22d225 |
completed | March 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a77e3b88190904c5ed6ee48ee71 |
completed | March 21, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.