Triple
T13597377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliot Branch |
E324855
|
entity |
| Predicate | trailIssue |
P29037
|
FINISHED |
| Object | repeated closures and reroutes of Timberline Trail crossing |
—
|
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: repeated closures and reroutes of Timberline Trail crossing | Statement: [Eliot Branch, trailIssue, repeated closures and reroutes of Timberline Trail crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailIssue Context triple: [Eliot Branch, trailIssue, repeated closures and reroutes of Timberline Trail crossing]
-
A.
trailNumber
Indicates that an entity is associated with a specific trail identifier or route number within a trail system.
-
B.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
C.
fareProblem
Indicates that there is an issue, dispute, or irregularity related to the fare charged or paid for a trip or service.
-
D.
trailAccess
Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
-
E.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.