Triple
T16972916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid metropolitan area |
E411731
|
entity |
| Predicate | hasMotorway |
P385
|
FINISHED |
| Object | A-4 |
E1207540
|
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: A-4 | Statement: [Madrid metropolitan area, hasMotorway, A-4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-4 Context triple: [Madrid metropolitan area, hasMotorway, A-4]
-
A.
A-4
A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
-
B.
A-4
chosen
A-4 is a major European motorway designation used for important intercity and international road routes in several countries.
-
C.
A-7
A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
-
D.
A-7
A-7 is a major Spanish motorway running along much of the Mediterranean coast, connecting key cities and tourist regions.
-
E.
A-45
A-45 is a major Spanish motorway that connects the cities of Málaga and Córdoba in Andalusia.
- 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_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.