Triple
T22046017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercanías Madrid Line C-2 |
E544765
|
entity |
| Predicate | belongsToMode |
P146378
|
FINISHED |
| Object | rail transport |
—
|
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: rail transport | Statement: [Cercanías Madrid Line C-2, belongsToMode, rail transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMode Context triple: [Cercanías Madrid Line C-2, belongsToMode, rail transport]
-
A.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
B.
belongsToModule
Indicates that something is a component or part of a specific module within a larger system or structure.
-
C.
belongsToStyle
Indicates that something is associated with, classified under, or part of a particular style or stylistic category.
-
D.
belongsToForceType
Indicates that an entity is associated with, or classified under, a specific type of force.
-
E.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282f4a448190bca55348c457a4bd |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:26 p.m.