Triple
T35538648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuevos Ministerios area |
E1027000
|
entity |
| Predicate | commuterRailLines |
P177940
|
FINISHED |
| Object | Cercanías Madrid C1 line |
—
|
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: Cercanías Madrid C1 line | Statement: [Nuevos Ministerios area, commuterRailLines, Cercanías Madrid C1 line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commuterRailLines Context triple: [Nuevos Ministerios area, commuterRailLines, Cercanías Madrid C1 line]
-
A.
amtrakLine
Indicates that one entity is an Amtrak-operated rail line serving or connecting the other entity.
-
B.
commuterRailMode
Indicates that the relationship involves travel or transportation specifically by commuter rail as the mode of transit between the related entities.
-
C.
monorailLines
Indicates that there is a monorail transit line or system associated with, serving, or present in the referenced entity.
-
D.
railroadLineServed
chosen
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
-
E.
hasMBTACommuterRailTerminus
Indicates that one entity serves as the endpoint or final stop of an MBTA Commuter Rail line for the other entity.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.