Triple
T28487051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenns Ferry, Idaho |
E720859
|
entity |
| Predicate | isPartOfTrailHistory |
P77360
|
FINISHED |
| Object | Oregon Trail |
—
|
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: Oregon Trail | Statement: [Glenns Ferry, Idaho, isPartOfTrailHistory, Oregon Trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTrailHistory Context triple: [Glenns Ferry, Idaho, isPartOfTrailHistory, Oregon Trail]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
isPartOfTrailSystem
chosen
Indicates that something belongs to, or is included within, a larger trail network or trail system.
-
C.
trailsBehind
Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
-
D.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
E.
hasTramHistory
Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 2:59 a.m.