Triple
T5902903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Pijp |
E131269
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Sarphatipark |
E162900
|
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: Sarphatipark | Statement: [De Pijp, hasGreenSpace, Sarphatipark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarphatipark Context triple: [De Pijp, hasGreenSpace, Sarphatipark]
-
A.
Sarphatipark
chosen
Sarphatipark is a popular 19th-century urban park in Amsterdam known for its green lawns, ponds, and relaxed neighborhood atmosphere.
-
B.
Faust Park
Faust Park is a historic public park in Chesterfield, Missouri, known for its preserved 19th-century village, the Butterfly House, and a classic carousel.
-
C.
Gellert Park
Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
-
D.
Vondelpark
Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
-
E.
Warandepark
Warandepark is a historic public park in central Brussels, Belgium, known for its formal layout, statues, and proximity to key government and royal buildings.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03735e6f8819084eded3b45f5e4ed |
completed | March 22, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0076cd88190b10e51c52dcc6a2e |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:58 p.m.