Triple
T1481898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tøyen |
E30974
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Tøyen Park |
E169377
|
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: Tøyen Park | Statement: [Tøyen, hasGreenSpace, Tøyen Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tøyen Park Context triple: [Tøyen, hasGreenSpace, Tøyen Park]
-
A.
Tøyen Park
chosen
Tøyen Park is a large public park in Oslo, Norway, known for its green spaces, cultural venues, and proximity to attractions like the Munch Museum and the Botanical Garden.
-
B.
Hanssenspark
Hanssenspark is a public park in Vilvoorde, Belgium, known as one of the town’s main green recreational areas.
-
C.
Näsbypark
Näsbypark is a residential suburban district in the northern Stockholm area of Sweden, known for its villas, green spaces, and coastal location by the Baltic Sea.
-
D.
Fair Park
Fair Park is a historic 277-acre recreational and cultural complex in Dallas, Texas, best known as the site of the annual State Fair of Texas and its extensive collection of Art Deco architecture.
-
E.
Meriken Park
Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6782f088190930d25a56161e2b3 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad232d039c8190840719485e214bfc |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 1, 2026, 8:11 p.m.