Triple
T27360030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wedge Pond |
E685794
|
entity |
| Predicate | isInNaturalSetting |
P163099
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wedge Pond, isInNaturalSetting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNaturalSetting Context triple: [Wedge Pond, isInNaturalSetting, true]
-
A.
isNaturalIn
Indicates that something occurs, exists, or develops in a place or context as a native or inherent part of it, without artificial introduction.
-
B.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
C.
containsNatureArea
Indicates that one entity spatially includes or encompasses a designated natural area within its boundaries.
-
D.
hasNaturalAreaType
Indicates that an entity is associated with or classified by a specific type of natural area (e.g., forest, wetland, grassland).
-
E.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 11:53 a.m.