Triple
T26048913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercanías Madrid Line C-3 |
E647910
|
entity |
| Predicate | systemMapLabel |
P13793
|
FINISHED |
| Object | C-3 |
—
|
NE NERFINISHED |
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: C-3 | Statement: [Cercanías Madrid Line C-3, systemMapLabel, C-3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemMapLabel Context triple: [Cercanías Madrid Line C-3, systemMapLabel, C-3]
-
A.
mapLabel
chosen
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
mapSystem
Indicates a relationship where one system is associated with or represented by a specific map or mapping framework.
-
C.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
D.
networkMapName
Indicates the designated name or label assigned to a particular network map within a system or context.
-
E.
mapsAs
Indicates that one entity serves as a mapping or correspondence to another, typically translating or associating elements from one domain or representation to another.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 22, 2026, 9:10 a.m.