Triple
T10398270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Corte de Madera Creek Open Space Preserve |
E245076
|
entity |
| Predicate | hasUseLevel |
P85306
|
FINISHED |
| Object | heavily used by mountain bikers |
—
|
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: heavily used by mountain bikers | Statement: [El Corte de Madera Creek Open Space Preserve, hasUseLevel, heavily used by mountain bikers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUseLevel Context triple: [El Corte de Madera Creek Open Space Preserve, hasUseLevel, heavily used by mountain bikers]
-
A.
hasUsageLevel
chosen
Indicates the degree or intensity with which something is used or utilized.
-
B.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
C.
hasLevelType
Indicates that an entity is associated with a specific type or category of level (e.g., difficulty, hierarchy, or stage).
-
D.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
E.
hasLocalLevel
Indicates that one entity possesses, is associated with, or is defined at a specific local administrative or organizational level relative to another 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:07 p.m.