Triple
T2428907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taree |
E52795
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Wingham |
E102828
|
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: Wingham | Statement: [Taree, nearbyTown, Wingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wingham Context triple: [Taree, nearbyTown, Wingham]
-
A.
Wingham
chosen
Wingham is a small historic town in New South Wales, Australia, known for its colonial heritage and proximity to the Manning River and surrounding rural landscapes.
-
B.
Thamesville
Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
-
C.
Leamington
Leamington is a small rural town located in Millard County in central Utah, known for its agricultural setting and proximity to the Sevier River.
-
D.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
E.
Whittlesey
Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99e1b548190aca9a0ba72a9b0f7 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf6634a48190af82eab6b9750323 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.