Triple
T13582838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skitube Alpine Railway |
E324464
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Blue Cow station |
E1048692
|
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: Blue Cow station | Statement: [Skitube Alpine Railway, hasStation, Blue Cow station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Cow station Context triple: [Skitube Alpine Railway, hasStation, Blue Cow station]
-
A.
Blue Cow station
chosen
Blue Cow station is a high-altitude ski resort railway station in the Snowy Mountains of New South Wales, Australia, serving as a key access point to the Blue Cow ski area.
-
B.
La Cultura station
La Cultura station is a stop on Line 1 of the Lima Metro serving the La Victoria/San Borja area of Lima, Peru.
-
C.
La Fox station
La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
-
D.
BC station
BC station is a light rail stop on the Massachusetts Bay Transportation Authority's Green Line serving the Boston College area in Chestnut Hill, Massachusetts.
-
E.
Bel-Air station
Bel-Air station is a public transit stop serving the Bel-Air neighborhood, likely part of a city’s metro or tram network.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8deae88190b932a57789c70e77 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.