Triple
T11414186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid West |
E270446
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Mingenew |
E924275
|
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: Mingenew | Statement: [Mid West, containsTown, Mingenew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingenew Context triple: [Mid West, containsTown, Mingenew]
-
A.
Mingenew
chosen
Mingenew is a small agricultural town in Western Australia known for its grain production and wildflower displays.
-
B.
Wainhill
Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
-
C.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
-
D.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
E.
Huonbrook
Huonbrook is a rural locality in the hinterland of New South Wales, Australia, known for its forested valleys, creeks, and alternative lifestyle communities.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801acd9bc81908a23b1b7b4e778d3 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d352283c8190b3ae7cefbd3bd5da |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:34 p.m.