Triple
T30191341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrison Creek |
E767493
|
entity |
| Predicate | remnantVisibleAs |
P35040
|
FINISHED |
| Object | ravine topography in city parks |
—
|
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: ravine topography in city parks | Statement: [Garrison Creek, remnantVisibleAs, ravine topography in city parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remnantVisibleAs Context triple: [Garrison Creek, remnantVisibleAs, ravine topography in city parks]
-
A.
visibleRemains
chosen
Indicates that some physical remnants of an entity or event can still be seen or visually detected.
-
B.
remnantDetected
Indicates that a remaining trace or leftover of a prior entity, event, or process has been identified.
-
C.
remnantType
Indicates the specific kind or category of remnant that results from or is associated with an entity or process.
-
D.
remnantName
Indicates that an entity is identified by a name specifically associated with a remaining part, leftover, or surviving fragment of something previously whole.
-
E.
remnantRegion
Indicates that a region is a leftover or remaining part of something that previously existed or was larger.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f84b03c8190a2574fde91d86e8c |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:28 p.m.