Triple
T15696972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbwe Gate |
E380486
|
entity |
| Predicate | trailLeadsThrough |
P39694
|
FINISHED |
| Object | dense forest |
—
|
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: dense forest | Statement: [Umbwe Gate, trailLeadsThrough, dense forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailLeadsThrough Context triple: [Umbwe Gate, trailLeadsThrough, dense forest]
-
A.
trailAssociation
chosen
Indicates an associative relationship between entities where one is contextually or functionally linked to a trail (such as being located on, connected to, or part of that trail).
-
B.
trailAccess
Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
-
C.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
D.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
E.
trailNetworkIncludes
Indicates that a specific trail network contains or encompasses a given trail segment or component as part of its overall system.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.