Triple
T35397014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bijlmerpark |
E1023106
|
entity |
| Predicate | isCentralParkFor |
P59551
|
FINISHED |
| Object | Bijlmermeer residents |
—
|
LITERAL 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: Bijlmermeer residents | Statement: [Bijlmerpark, isCentralParkFor, Bijlmermeer residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCentralParkFor Context triple: [Bijlmerpark, isCentralParkFor, Bijlmermeer residents]
-
A.
isCentralParkOf
chosen
Indicates that a location serves as the primary or central park for a specified area, city, or region.
-
B.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
-
C.
cityParkOf
Indicates that one entity is a city park that is located within or belongs to a particular city.
-
D.
isLargestUrbanParkIn
Indicates that one entity is the largest urban park within the boundaries or context of another specified entity (such as a city or region).
-
E.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative entity.
- F. None of above.
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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.