Triple
T7389810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portbou |
E170470
|
entity |
| Predicate | isRailTerminusFor |
P21210
|
FINISHED |
| Object | Iberian-gauge lines from Barcelona |
—
|
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: Iberian-gauge lines from Barcelona | Statement: [Portbou, isRailTerminusFor, Iberian-gauge lines from Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRailTerminusFor Context triple: [Portbou, isRailTerminusFor, Iberian-gauge lines from Barcelona]
-
A.
railroadTerminusFor
chosen
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
-
B.
railLineTerminus
Indicates that a rail line ends or terminates at the specified location or station.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
isOnlyRailStationServing
Indicates that one rail station is the sole station providing service to a particular area, route, or entity, with no alternative rail stations serving it.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f512d881908056bdb88a58bea4 |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:09 p.m.