Triple
T1908791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertfordshire |
E38060
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Watton-at-Stone |
E194915
|
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: Watton-at-Stone | Statement: [Hertfordshire, containsSettlement, Watton-at-Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watton-at-Stone Context triple: [Hertfordshire, containsSettlement, Watton-at-Stone]
-
A.
Watton-at-Stone
chosen
Watton-at-Stone is a village and civil parish in Hertfordshire, England, situated between Hertford and Stevenage.
-
B.
Kempshott
Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
-
C.
Hunstanton
Hunstanton is a seaside town on the north coast of Norfolk, England, known for its distinctive striped cliffs and sandy beaches on The Wash.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
- 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_69adeafdad3c8190be7aeaed8bdeac43 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.