Triple
T31856333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vriezekoop |
E813206
|
entity |
| Predicate | locatedInWaterRecreationArea |
P1714
|
FINISHED |
| Object | Westeinderplassen |
E178427
|
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: Westeinderplassen | Statement: [Vriezekoop, locatedInWaterRecreationArea, Westeinderplassen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInWaterRecreationArea Context triple: [Vriezekoop, locatedInWaterRecreationArea, Westeinderplassen]
-
A.
locatedInWaterwayAuthorityArea
Indicates that one entity lies within the jurisdictional area governed or managed by a particular waterway authority.
-
B.
locatedInWaterfrontArea
Indicates that something is situated within a designated waterfront area adjacent to a body of water.
-
C.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
D.
locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
-
E.
locatedInBodyOfWater
chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
- F. None of above.
Provenance (4 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01ccd995e48190b6675e463bd0a567 |
completed | May 11, 2026, 12:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a254e408190bb091d0e58069740 |
completed | June 14, 2026, 11:01 a.m. |
| PD | Predicate disambiguation | batch_6a01cc33177c8190bc0703276618b3ec |
completed | May 11, 2026, 12:31 p.m. |
Created at: April 30, 2026, 11:52 p.m.