Triple
T24174402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfe Cercanías |
E599235
|
entity |
| Predicate | railwaySignageColor |
P44913
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Renfe Cercanías, railwaySignageColor, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwaySignageColor Context triple: [Renfe Cercanías, railwaySignageColor, red]
-
A.
railwaySignColor
chosen
Indicates the color attribute assigned to a particular railway sign.
-
B.
railwaySign
Indicates that one entity functions as a railway-related sign or signal that conveys information or instructions within a rail transport context to another entity.
-
C.
roadSignColor
Indicates the color attribute associated with a particular road sign.
-
D.
rollingStockColor
Indicates the color attribute assigned to a piece of rolling stock (such as a rail vehicle) in the relationship.
-
E.
usesRailwaySignallingSystem
Indicates that one entity operates or applies a particular railway signalling system in the context of train or rail traffic control.
- F. None of above.
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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.