Triple
T14171926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavistock Canal |
E351229
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Tavistock |
E67261
|
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: Tavistock | Statement: [Tavistock Canal, servesCity, Tavistock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tavistock Context triple: [Tavistock Canal, servesCity, Tavistock]
-
A.
Tavistock
chosen
Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
-
B.
Egremont
Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
-
C.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
-
D.
Shaftesbury
Shaftesbury is a historic hilltop town in Dorset, England, known for its picturesque streets, including the famously steep, cobbled Gold Hill.
-
E.
Portchester
Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324772e4819092aef7826b39b144 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 10, 2026, 1:01 a.m.