Triple
T34791086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barca d'Alva |
E1002945
|
entity |
| Predicate | railConnectionStatus |
P41715
|
FINISHED |
| Object | Portuguese section of Douro line closed beyond Pocinho |
—
|
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: Portuguese section of Douro line closed beyond Pocinho | Statement: [Barca d'Alva, railConnectionStatus, Portuguese section of Douro line closed beyond Pocinho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railConnectionStatus Context triple: [Barca d'Alva, railConnectionStatus, Portuguese section of Douro line closed beyond Pocinho]
-
A.
railStatus
chosen
Indicates the current operational condition or state of a rail-related entity (such as a track, line, or service) within the system.
-
B.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
C.
railAccessModel
Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
-
D.
railConnectionPurpose
Indicates the intended function or goal of a particular rail connection between locations or networks.
-
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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.