Triple
T1908844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A10 road |
E38061
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Hoddesdon |
E376923
|
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: Hoddesdon | Statement: [A10 road, connects, Hoddesdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoddesdon Context triple: [A10 road, connects, Hoddesdon]
-
A.
Hoddesdon
chosen
Hoddesdon is a historic market town in southern England known for its traditional high street, commuter links to London, and proximity to the River Lea.
-
B.
Radlett
Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
-
C.
Welwyn
Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural character.
-
D.
Welwyn Hatfield
Welwyn Hatfield is a local government district and borough in Hertfordshire, England, that includes the towns of Welwyn Garden City and Hatfield.
-
E.
Cheshunt
Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b55edc8190bce8ac97196939a9 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4b980888190a7df10662789f61e |
completed | March 14, 2026, 4:31 a.m. |
Created at: March 4, 2026, 7:35 p.m.