Triple
T5083876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagga Wagga Airport |
E114587
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Wagga Wagga |
E20750
|
NE FINISHED |
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: Wagga Wagga | Statement: [Wagga Wagga Airport, serves, Wagga Wagga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wagga Wagga Context triple: [Wagga Wagga Airport, serves, Wagga Wagga]
-
A.
Wagga Wagga
chosen
Wagga Wagga is a major regional city in New South Wales, Australia, known as an important agricultural, military, and transport hub in the Riverina region.
-
B.
Katoomba
Katoomba is a popular town in New South Wales, Australia, known as the main tourist hub of the Blue Mountains with attractions like the Three Sisters rock formation and scenic bushwalking trails.
-
C.
Albury
Albury is a small rural village and civil parish in Hertfordshire, England, known for its historic church and countryside setting.
-
D.
Albury
Albury is a major regional city in New South Wales, Australia, located on the border with Victoria and known as a key commercial and transport hub of the Murray River region.
-
E.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb135912c81909dd32d21b604e1b1 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.