Triple
T19938660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M180 motorway |
E479243
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Crowle |
—
|
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: Crowle | Statement: [M180 motorway, passesNear, Crowle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowle Context triple: [M180 motorway, passesNear, Crowle]
-
A.
Crowle
chosen
Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
-
B.
Throsk
Throsk is a small village in central Scotland situated on the River Forth within the Stirling council area.
-
C.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
-
D.
Oger
Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
-
E.
Burradon
Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a190ac08190b9dc7955c9764a71 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.