Triple
T15365976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friezland railway station |
E367414
|
entity |
| Predicate | served |
P17148
|
FINISHED |
| Object | Friezland |
E367414
|
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: Friezland | Statement: [Friezland railway station, served, Friezland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friezland Context triple: [Friezland railway station, served, Friezland]
-
A.
Friezland
chosen
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
-
B.
Skarfia
Skarfia is a small settlement in Greece located within the administrative boundaries of the Agia municipality.
-
C.
Erblande
Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
-
D.
Krakozhia
Krakozhia is a fictional Eastern European country featured in the film "The Terminal," serving as the homeland of the main character Viktor Navorski.
-
E.
Ostland
Ostland was a historical region in Eastern Europe that roughly encompassed the Baltic states and parts of western Belarus.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.