Triple
T961781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter Valley |
E20749
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lovedale |
E106287
|
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: Lovedale | Statement: [Hunter Valley, contains, Lovedale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovedale Context triple: [Hunter Valley, contains, Lovedale]
-
A.
Lovedale
chosen
Lovedale is a rural locality in the Hunter Valley region of New South Wales, Australia, known for its vineyards, wineries, and boutique accommodation.
-
B.
Darbyville
Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
-
C.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
D.
Laurieton
Laurieton is a small coastal town in New South Wales, Australia, known for its scenic setting near the Camden Haven River and proximity to national parks and beaches.
-
E.
Pleasant Valley
Pleasant Valley is a small town and community in Dutchess County, New York, known for its rural character and residential neighborhoods.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5992e4a88190b10b98efd24c3616 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:40 p.m.