Triple
T17687862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wawa railway station |
E440941
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | WAWA |
—
|
NE NERFINISHED |
How this triple was built (2 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: WAWA | Statement: [Wawa railway station, hasStationCode, WAWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAWA Context triple: [Wawa railway station, hasStationCode, WAWA]
-
A.
WAWA
chosen
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
B.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
-
C.
WAKA
"WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
D.
WAAA
WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
-
E.
WAAPA
WAAPA is a renowned Australian performing arts academy based in Perth, known for training actors, dancers, musicians, and other stage professionals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704944d8819089b153aa14839fc0 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.