Triple
T6382439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Långsjön Lake |
E143615
|
entity |
| Predicate | hasSwimmingArea |
P39236
|
FINISHED |
| Object | designated bathing spots |
—
|
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: designated bathing spots | Statement: [Långsjön Lake, hasSwimmingArea, designated bathing spots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSwimmingArea Context triple: [Långsjön Lake, hasSwimmingArea, designated bathing spots]
-
A.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
B.
swimmingAllowed
chosen
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
D.
hasWaterfrontArea
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
-
E.
hasSwimmingComponent
Indicates that an entity includes, involves, or requires a swimming-related part, feature, or activity as one of its components.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06854eb608190acb6bb4dc466f0fc |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.