Triple
T2026097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A40 road |
E44410
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A40 |
E50853
|
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: A40 | Statement: [A40 road, roadNumber, A40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A40 Context triple: [A40 road, roadNumber, A40]
-
A.
A40
chosen
A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
-
B.
A44
A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
-
C.
A24
A24 is a major road designation used in several countries, typically referring to important regional or intercity routes.
-
D.
A24
A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
-
E.
C40
C40 is a global network of major cities collaborating to address climate change and drive urban climate leadership.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f3faa08190a48ae1355d6e009f |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afc9e3c8190a045ef1c987c4141 |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.