Triple
T2442600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidden Valley Trail |
E53310
|
entity |
| Predicate | hasLoopDirection |
P36771
|
FINISHED |
| Object | can be hiked clockwise or counterclockwise |
—
|
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: can be hiked clockwise or counterclockwise | Statement: [Hidden Valley Trail, hasLoopDirection, can be hiked clockwise or counterclockwise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoopDirection Context triple: [Hidden Valley Trail, hasLoopDirection, can be hiked clockwise or counterclockwise]
-
A.
hasLoopDirectionOptions
chosen
Indicates that an entity provides or supports multiple possible directions in which a loop can operate or be executed.
-
B.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
C.
hasCountingDirection
Indicates the direction or order in which counting or enumeration proceeds between related entities.
-
D.
hasPassingLoopAt
Indicates that a railway line or track segment includes a passing loop located at a specified place or point.
-
E.
loopType
Indicates the specific kind or category of loop structure or iteration pattern used in a process or control flow.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.