Triple
T38029170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templeton Trail |
E948859
|
entity |
| Predicate | followsWater |
P3624
|
FINISHED |
| Object | Oak Creek |
—
|
NE NERFINISHED |
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: Oak Creek | Statement: [Templeton Trail, followsWater, Oak Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsWater Context triple: [Templeton Trail, followsWater, Oak Creek]
-
A.
followsWatercourse
chosen
Indicates that one entity runs alongside or traces the path of a watercourse such as a river, stream, or canal.
-
B.
waterwayFollowed
Indicates that one entity moves along or traces the course of a particular waterway (such as a river, canal, or stream).
-
C.
followsCoast
Indicates that one entity’s path or boundary runs alongside and generally conforms to the shape of a coastline.
-
D.
followsNaturalFeature
Indicates that one entity’s position, path, or boundary runs alongside or is aligned with a natural geographic feature (such as a river, coastline, or ridgeline).
-
E.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:20 p.m.