Triple
T8200710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linn |
E191563
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Burgpark Linn |
E718610
|
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: Burgpark Linn | Statement: [Linn, hasGreenSpace, Burgpark Linn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgpark Linn Context triple: [Linn, hasGreenSpace, Burgpark Linn]
-
A.
Burgpark Linn
chosen
Burgpark Linn is a historic park surrounding the medieval castle in the Krefeld district of Linn, Germany, known for its scenic grounds and cultural events.
-
B.
The Glen
The Glen is a residential neighborhood located adjacent to the Palacefields area.
-
C.
The Glen
The Glen is a historic public park in Dunfermline, Scotland, known for its landscaped grounds, woodland walks, and cultural significance as part of Pittencrieff Park.
-
D.
Ewen Park
Ewen Park is a public park in the Riverdale neighborhood of the Bronx known for its hilly terrain, open green spaces, and views over the Hudson River.
-
E.
Bilston Glen
Bilston Glen is a wooded valley in Midlothian, Scotland, known for its ancient woodland, wildlife, and history of environmental protest.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df6e7548190846a1afd62ec6d0a |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34a9c8f08190a8a79b7baa7ffded |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:43 p.m.