Triple
T23215202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Oberon |
E580715
|
entity |
| Predicate | nearestTrackAccess |
P151393
|
FINISHED |
| Object | Scotts Peak Dam |
—
|
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: Scotts Peak Dam | Statement: [Lake Oberon, nearestTrackAccess, Scotts Peak Dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestTrackAccess Context triple: [Lake Oberon, nearestTrackAccess, Scotts Peak Dam]
-
A.
nearestPass
Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
-
B.
trackAccess
Indicates that one entity monitors, records, or keeps a log of another entity’s access or usage of a resource.
-
C.
accessedByTrack
Indicates that something (such as a location, resource, or object) is reachable or entered via a particular track or pathway.
-
D.
nearestNotablePass
Indicates the relationship where a pass is identified as the closest notable or significant pass relative to a given reference location or entity.
-
E.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191646c548190a3f7150f0c253dc1 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:08 p.m.