Triple
T16972911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid metropolitan area |
E411731
|
entity |
| Predicate | hasRingRoad |
P9042
|
FINISHED |
| Object | M-45 |
E446248
|
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: M-45 | Statement: [Madrid metropolitan area, hasRingRoad, M-45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-45 Context triple: [Madrid metropolitan area, hasRingRoad, M-45]
-
A.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
B.
M-45
chosen
M-45 is a major ring road in the Madrid metropolitan area that helps divert traffic around the city and connect several eastern suburbs.
-
C.
M-40
M-40 is a major ring road encircling Madrid, Spain, serving as a key arterial route that connects various suburbs and municipalities around the city.
-
D.
M-40
M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
-
E.
M-4
M-4 is a major Russian federal highway that runs from Moscow to the Black Sea coast, serving as a key transport corridor in the country.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.