Triple
T14428497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Lake |
E357757
|
entity |
| Predicate | hasShorelineOwnership |
P44588
|
FINISHED |
| Object | predominantly private |
—
|
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: predominantly private | Statement: [Third Lake, hasShorelineOwnership, predominantly private]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShorelineOwnership Context triple: [Third Lake, hasShorelineOwnership, predominantly private]
-
A.
shorelineOwnership
chosen
Indicates that one entity holds legal or recognized ownership rights over a stretch of shoreline associated with another entity or location.
-
B.
hasShorelineUse
Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
-
C.
hasShorelineUseRestrictions
Indicates that there are specific rules or limitations governing how the shoreline area associated with an entity may be used or developed.
-
D.
hasLongShoreline
Indicates that an entity possesses an extensive or unusually long shoreline relative to typical cases.
-
E.
hasShorelineCountry
Indicates that a country possesses a coastline or land boundary directly adjacent to a particular body of water or coastal region.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.