Triple
T1727000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceremonial county of Somerset |
E37519
|
entity |
| Predicate | hasCountyTown |
P383
|
FINISHED |
| Object | Taunton |
E265728
|
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: Taunton | Statement: [Ceremonial county of Somerset, hasCountyTown, Taunton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taunton Context triple: [Ceremonial county of Somerset, hasCountyTown, Taunton]
-
A.
Taunton
chosen
Taunton is a historic market town and the county town of Somerset in southwest England, known for its medieval heritage and role as a regional administrative and commercial center.
-
B.
Taunton, Massachusetts
Taunton, Massachusetts is a historic city in Bristol County known as the "Silver City" for its former prominence in the silver manufacturing industry.
-
C.
Newport
Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
-
D.
Newport
Newport is a coastal city in Oregon known for its fishing industry, marine science centers, and scenic Pacific shoreline.
-
E.
Newport
Newport is the former name of Parkersburg, a city located along the Ohio River in western West Virginia.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637a9e34819094f2d9295480ddba |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e38ff2881909490b7b20deb149b |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 4, 2026, 7:30 p.m.