Triple
T16557401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Dorset |
E402245
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wool |
E1173487
|
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: Wool | Statement: [South Dorset, contains, Wool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wool Context triple: [South Dorset, contains, Wool]
-
A.
Wool
Wool is a post-apocalyptic science fiction novel by Hugh Howey, known for its serialized origin and its depiction of a society living in an underground silo.
-
B.
Wool
chosen
Wool is a village in Dorset, England, known for its rural setting near the River Frome and proximity to attractions like the Jurassic Coast and Monkey World.
-
C.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
D.
Breeda Wool
Breeda Wool is an American actress known for her roles in television dramas and thrillers, including a prominent part in the series "Mr. Mercedes."
-
E.
Cashmere
Cashmere is a semi-rural residential suburb in the Moreton Bay Region of Queensland, Australia, known for its bushland setting and proximity to the D'Aguilar Range.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fca6db8819098c4f3919bb052d8 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067bcb698819092ede6ba4f8a4a2b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.