Triple
T19038009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarratt |
E465926
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | River Chess |
—
|
NE NERFINISHED |
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: River Chess | Statement: [Sarratt, near, River Chess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Chess Context triple: [Sarratt, near, River Chess]
-
A.
River Chess
chosen
River Chess is a chalk stream in southeast England that flows through Buckinghamshire and Hertfordshire before joining the River Colne.
-
B.
Chessmen
Chessmen are classic buttery shortbread cookies from Pepperidge Farm, known for their rich flavor and distinctive stamped designs.
-
C.
Schiers
Schiers is a Swiss municipality in the canton of Graubünden, known as a local center in the Prättigau valley with a mix of rural character and regional services.
-
D.
The Chessmen
The Chessmen is a crime novel by Scottish author Peter May, forming the third book in his acclaimed Lewis Trilogy set in the Outer Hebrides.
-
E.
Pawns
"Pawns" is a dramatic work by English poet and playwright John Drinkwater, reflecting his early 20th-century literary style and themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7fed99c81909495797c604db044 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:02 p.m.