Triple
T12537652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ufford |
E299740
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Melton |
E299739
|
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: Melton | Statement: [Ufford, locatedNear, Melton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melton Context triple: [Ufford, locatedNear, Melton]
-
A.
Melton
chosen
Melton is a village and civil parish in Suffolk, England, situated near the town of Woodbridge in the East Suffolk district.
-
B.
Melton
Melton is a local government district and borough in the county of Leicestershire, England, centered on the market town of Melton Mowbray.
-
C.
West Melton
West Melton is a rural township in New Zealand’s Canterbury region, known for its lifestyle properties, vineyards, and proximity to Christchurch.
-
D.
Manton
Manton is a small unincorporated community located in Nelson County, Kentucky, known for its rural setting within the state's central region.
-
E.
Manton
Manton is a small unincorporated rural community in Tehama County, California, known for its agricultural setting and proximity to the Cascade Range foothills.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546ebf508190ae54857e4289c6e4 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685f99a08190b6fe4cc10f1c8d73 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:57 p.m.