Triple
T14197333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M6 motorway |
E351870
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | M6 |
E183218
|
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: M6 | Statement: [M6 motorway, roadNumber, M6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M6 Context triple: [M6 motorway, roadNumber, M6]
-
A.
M6
chosen
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
-
B.
M6
M6 is a major French television channel known for its general-interest programming, including entertainment shows, series, and reality TV.
-
C.
M61
M61 is a major motorway in North West England connecting Manchester with Preston and linking into the wider UK motorway network.
-
D.
M26
The M26 is a U.S. World War II–era heavy/medium tank, commonly known as the M26 Pershing, that served as a precursor to the American Patton tank series.
-
E.
M-600
M-600 is a regional road in the Community of Madrid, Spain, that connects several towns including Brunete.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194d14008190a74021ff5a3e51d1 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.