Triple
T23511297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadcaster |
E572427
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | TADCASTER |
E572427
|
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: TADCASTER | Statement: [Tadcaster, postalTown, TADCASTER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TADCASTER Context triple: [Tadcaster, postalTown, TADCASTER]
-
A.
Tadcaster
chosen
Tadcaster is a historic market town in North Yorkshire, England, known for its brewing industry and location between York and Leeds.
-
B.
Tuncester
Tuncester is a small locality situated within the Mid North Coast region of New South Wales, Australia.
-
C.
Yate
Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
-
D.
Towcester
Towcester is a historic market town in Northamptonshire, England, known for its Roman origins and location on the ancient Watling Street route.
-
E.
Tadfield
Tadfield is a seemingly ordinary English village that serves as the central, idyllic backdrop for the apocalyptic events in Neil Gaiman and Terry Pratchett’s novel "Good Omens."
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa7e99b081909620c4f951100023 |
completed | April 29, 2026, 6:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c827b417c8190b50687412133bb0b |
completed | May 19, 2026, 3:32 p.m. |
Created at: April 17, 2026, 6:07 p.m.