Triple
T22218522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinewood Reservoir |
E549140
|
entity |
| Predicate | hasSurfaceUseRule |
P147328
|
FINISHED |
| Object | electric motors only (often enforced) |
—
|
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: electric motors only (often enforced) | Statement: [Pinewood Reservoir, hasSurfaceUseRule, electric motors only (often enforced)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceUseRule Context triple: [Pinewood Reservoir, hasSurfaceUseRule, electric motors only (often enforced)]
-
A.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
B.
usesSurface
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
-
C.
hasTrailUseRule
Indicates that a specified rule governs how a particular trail may be used.
-
D.
hasSurfacePreference
Indicates that an entity tends to favor or is best suited for interacting with a particular type of surface over others.
-
E.
hasSurfaceConnections
Indicates that one entity is linked to another through connections or interfaces that occur at or across their surfaces.
- F. None of above. chosen
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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8edd288190a49f10e009122057 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.