Triple
T23021966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veenpark |
E573191
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barger-Compascuum |
—
|
NE NERFINISHED |
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: Barger-Compascuum | Statement: [Veenpark, locatedIn, Barger-Compascuum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barger-Compascuum Context triple: [Veenpark, locatedIn, Barger-Compascuum]
-
A.
Barger-Compascuum
chosen
Barger-Compascuum is a village in the province of Drenthe in the northeastern Netherlands, known for its peat history and open-air museum.
-
B.
Badgerline
Badgerline was a major British bus operator that emerged from the privatization of the National Bus Company and later became a core part of the transport group FirstGroup.
-
C.
Oshkosh Racey
Oshkosh Racey is a celebrated American racing greyhound renowned for his exceptional track performance and status as one of the sport’s notable champions.
-
D.
Bowersox
Bowersox is a surname most notably associated with Kenneth D. Bowersox, a former NASA astronaut and U.S. Navy officer.
-
E.
Ruston-Bucyrus
Ruston-Bucyrus was a British engineering firm best known for producing heavy construction and excavation machinery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e9208081908fdbb8e21cacedde |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.