Triple
T11921045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid Worcestershire |
E283654
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Badsey |
E828242
|
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: Badsey | Statement: [Mid Worcestershire, hasSettlement, Badsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badsey Context triple: [Mid Worcestershire, hasSettlement, Badsey]
-
A.
Badsey
chosen
Badsey is a village and civil parish in Worcestershire, England, known historically for market gardening and its rural community character.
-
B.
Symbister
Symbister is the principal village and harbour on the island of Whalsay in the Shetland Islands of Scotland.
-
C.
Ballabeg
Ballabeg is a small village on the Isle of Man, known for its rural character and traditional Manx community.
-
D.
Balnamoon
Balnamoon is a historic Scottish estate associated with the Carnegie family, notably James Carnegie of Balnamoon.
-
E.
Shedgum
Shedgum is a major production area within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the country’s crude oil output.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44033c288819099587af3f895eac5 |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:45 p.m.