Triple
T19648749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alameda (Lisbon Metro) |
E471750
|
entity |
| Predicate | platformsForLine |
P136822
|
FINISHED |
| Object | Green Line platforms |
—
|
LITERAL 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: Green Line platforms | Statement: [Alameda (Lisbon Metro), platformsForLine, Green Line platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformsForLine Context triple: [Alameda (Lisbon Metro), platformsForLine, Green Line platforms]
-
A.
platformsForLine8
Indicates that something serves as a platform or set of platforms used by or associated with line 8 (e.g., a transit or rail line).
-
B.
platformsForLine14
Indicates that the subject provides or contains platforms that serve line 14 (such as a transit or railway line).
-
C.
platformsForLine12
Indicates that the subject provides or contains the platforms associated with line 12.
-
D.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
E.
hasConventionalLinePlatform
Indicates that an entity provides or is associated with a platform specifically designated for conventional (non-high-speed or standard) railway lines.
- F. None of above. chosen
Provenance (4 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641278e9881909bdf8d440ef6eba4 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.