Triple
T8197427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaasperplas |
E191467
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gaasperpark |
E727308
|
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: Gaasperpark | Statement: [Gaasperplas, hasPart, Gaasperpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaasperpark Context triple: [Gaasperplas, hasPart, Gaasperpark]
-
A.
Gaasperpark
chosen
Gaasperpark is a large recreational and nature park in the southeastern part of Amsterdam, known for its lakeside beaches, walking and cycling paths, and green open spaces.
-
B.
Weltevreden Park
Weltevreden Park is a residential suburb in the Roodepoort area of Johannesburg, South Africa, known for its family-friendly environment and proximity to major city amenities.
-
C.
Westeindpark
Westeindpark is a public park located in the town of Papendrecht in the Netherlands, offering green space and recreational areas for local residents.
-
D.
Groenendaal park
Groenendaal park is a historic woodland and recreational park in Heemstede, the Netherlands, known for its walking paths, ponds, and natural scenery.
-
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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c2341f881908be59c378896e5bc |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde72b95b08190834cb6f4da15ce95 |
completed | April 2, 2026, 3:48 a.m. |
Created at: March 30, 2026, 5:42 p.m.