Triple
T38037774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Canyon Trailhead |
E949396
|
entity |
| Predicate | trailTypeServed |
P189896
|
FINISHED |
| Object | scenic hiking trail |
—
|
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: scenic hiking trail | Statement: [Echo Canyon Trailhead, trailTypeServed, scenic hiking trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailTypeServed Context triple: [Echo Canyon Trailhead, trailTypeServed, scenic hiking trail]
-
A.
trailFeatureType
Indicates the specific kind or category of feature associated with a trail (such as surface, structure, or notable characteristic).
-
B.
roadServed
Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
-
C.
trailNetworkType
Indicates the classification of a trail within a broader trail network, such as its role, category, or type of route in that system.
-
D.
trailNetworkIncludes
Indicates that a specific trail network contains or encompasses a given trail segment or component as part of its overall system.
-
E.
beltwayType
Indicates the specific classification or type of a beltway (ring road) associated with a given roadway or area.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.