Triple
T21244753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc des Eaux-Vives |
E523574
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Parc La Grange |
—
|
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: Parc La Grange | Statement: [Parc des Eaux-Vives, adjacentTo, Parc La Grange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parc La Grange Context triple: [Parc des Eaux-Vives, adjacentTo, Parc La Grange]
-
A.
Parc La Grange
chosen
Parc La Grange is a large historic public park in Geneva, Switzerland, known for its expansive lawns, rose gardens, and lakeside views.
-
B.
Boisseranc Park
Boisseranc Park is a public recreational park located in the city of Buena Park in Southern California.
-
C.
Parc Beaumont
Parc Beaumont is a scenic public park in Pau, France, known for its landscaped gardens, walking paths, and views toward the Pyrenees.
-
D.
Bouvaque Park
Bouvaque Park is a scenic public park in Abbeville, France, known for its ponds, wetlands, and rich birdlife.
-
E.
La Fontaine Park
La Fontaine Park is a large urban green space in Montreal known for its ponds, tree-lined paths, outdoor theater, and recreational facilities.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.