Triple
T30283990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foligno railway station |
E770179
|
entity |
| Predicate | servesRailwayLineCategory |
P21523
|
FINISHED |
| Object | regional lines |
—
|
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: regional lines | Statement: [Foligno railway station, servesRailwayLineCategory, regional lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesRailwayLineCategory Context triple: [Foligno railway station, servesRailwayLineCategory, regional lines]
-
A.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
B.
railServiceType
chosen
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
-
C.
railroadLineServed
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
-
D.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
E.
servesCommuterRailLine
Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: April 29, 2026, 7:45 p.m.