Triple
T504422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunes |
E10470
|
entity |
| Predicate | hasTransportInfrastructure |
P2560
|
FINISHED |
| Object | Tunes railway station |
E62898
|
NE 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: Tunes railway station | Statement: [Tunes, hasTransportInfrastructure, Tunes railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunes railway station Context triple: [Tunes, hasTransportInfrastructure, Tunes railway station]
-
A.
Tunes railway station
chosen
Tunes railway station is a key railway junction in Portugal’s Algarve region, connecting major routes along the Algarve line with services to Lisbon and other parts of the country.
-
B.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
C.
High Brooms railway station
High Brooms railway station is a suburban rail stop serving the High Brooms area of Royal Tunbridge Wells in Kent, England, on the Hastings line.
-
D.
Bern railway station
Bern railway station is the main railway hub of Switzerland’s capital city, serving as a central node for national and international train connections.
-
E.
Woodland station
Woodland station is a light rail stop on Boston’s MBTA Green Line D branch serving the Newton area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a49eb990308190a3306f5408eec850 |
completed | March 1, 2026, 8:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.