Triple
T500653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M74 motorway |
E10392
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object | M74 |
E25349
|
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: M74 | Statement: [M74 motorway, routeNumber, M74]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M74 Context triple: [M74 motorway, routeNumber, M74]
-
A.
Marsden
Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
-
B.
Leyland
Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
-
C.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
-
D.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
E.
Paisley
chosen
Paisley is a large town in the west of Scotland known for its historic textile industry and as the origin of the famous paisley pattern.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f13096248190a622a58dcf540b00 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a485456cfc81908fab6c5d9548ebb9 |
completed | March 1, 2026, 6:28 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.