Triple
T17432367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Australian Academy of Performing Arts |
E423904
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
WAAPA
WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
|
E1268454
|
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: WAAPA | Statement: [Western Australian Academy of Performing Arts, shortName, WAAPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAAPA Context triple: [Western Australian Academy of Performing Arts, shortName, WAAPA]
-
A.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
B.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
C.
Waic
Waic is a subgroup of related Austroasiatic languages spoken primarily by the Wa people in parts of China and Myanmar.
-
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.
Wee Waa
Wee Waa is a small rural town in north-western New South Wales, Australia, known historically as an important cotton-growing and agricultural centre.
- 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: WAAPA Triple: [Western Australian Academy of Performing Arts, shortName, WAAPA]
Generated description
WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WAAPA Target entity description: WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
-
A.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
B.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
C.
Waic
Waic is a subgroup of related Austroasiatic languages spoken primarily by the Wa people in parts of China and Myanmar.
-
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.
Wee Waa
Wee Waa is a small rural town in north-western New South Wales, Australia, known historically as an important cotton-growing and agricultural centre.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e449014b388190ba8c9023d3c9dd99 |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01afeeeb508190a210c4c84544db63 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b090b1f4819094517495fe43fa0f |
completed | May 11, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b11e85c08190a7bb2a82c9a4a9ca |
completed | May 11, 2026, 10:36 a.m. |
Created at: April 10, 2026, 5:46 a.m.