Triple
T10200149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Comtoise |
E238860
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A36 |
E236910
|
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: A36 | Statement: [La Comtoise, roadNumber, A36]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A36 Context triple: [La Comtoise, roadNumber, A36]
-
A.
A36
chosen
A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
-
B.
A361
The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
-
C.
A35
A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
-
D.
A3526
A3526 is a massive galaxy cluster in the constellation Centaurus, notable as one of the nearest and most studied rich clusters of galaxies.
-
E.
A303
The A303 is a major trunk road in southern England that links the M3 motorway near Basingstoke to the A30 in Devon, passing close to landmarks such as Stonehenge.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317f40f0c8190a3d966c934cc20f7 |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.