Triple
T13306049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croston Parish |
E316936
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Croston |
E223761
|
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: Croston | Statement: [Croston Parish, hasSettlement, Croston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croston Context triple: [Croston Parish, hasSettlement, Croston]
-
A.
Croston
chosen
Croston is a historic village in Lancashire, England, known for its picturesque rural setting, traditional architecture, and riverside location.
-
B.
Cronton
Cronton is a small village and civil parish in the Metropolitan Borough of Knowsley in Merseyside, England.
-
C.
Standerton
Standerton is a significant agricultural and commercial town situated on the banks of the Vaal River in South Africa’s Mpumalanga province.
-
D.
Dunston
Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.