Triple
T9147469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Gravesham |
E219492
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shorne |
E781120
|
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: Shorne | Statement: [Borough of Gravesham, contains, Shorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shorne Context triple: [Borough of Gravesham, contains, Shorne]
-
A.
Shorne
chosen
Shorne is a village in north-west Kent, England, known for its rural character and proximity to the Shorne Woods Country Park.
-
B.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
C.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
D.
Shafroth
Shafroth is a surname most notably associated with John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the early 20th century.
-
E.
Shamroy
Shamroy is a surname most notably associated with Leon Shamroy, an acclaimed American cinematographer.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca918a3c881909c34a6a682eb2625 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05458ac188190acc47fc99f8ee182 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:20 p.m.