Triple
T36553741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler Track |
E901641
|
entity |
| Predicate | isLoopTrail |
P161502
|
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: [Kepler Track, isLoopTrail, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLoopTrail Context triple: [Kepler Track, isLoopTrail, true]
-
A.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
B.
loopTrail
chosen
Indicates that a trail or path forms a closed loop, starting and ending at the same point without backtracking over the same segment.
-
C.
isLoopOf
Indicates that one entity represents a loop or cyclic structure corresponding to, derived from, or associated with another entity.
-
D.
isRailTrail
Indicates that a path or route is a rail trail, meaning it follows or repurposes a former or existing railway corridor for recreational or transportation use.
-
E.
hasLoopRoad
Indicates that a location or area is connected by a road that forms a closed loop, beginning and ending at the same point.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.