Triple
T38612143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Teresa District |
E934508
|
entity |
| Predicate | trekkingRole |
P121048
|
FINISHED |
| Object | gateway to Choquequirao treks |
—
|
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: gateway to Choquequirao treks | Statement: [Santa Teresa District, trekkingRole, gateway to Choquequirao treks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trekkingRole Context triple: [Santa Teresa District, trekkingRole, gateway to Choquequirao treks]
-
A.
trekkingBase
Indicates a location that serves as the primary starting point or support hub for trekking activities.
-
B.
roleInAppalachianTrail
Indicates a relationship where an entity holds a specific role, function, or responsibility in connection with the Appalachian Trail.
-
C.
trekkingFeature
chosen
Indicates a notable characteristic, condition, or element specifically associated with trekking activities or routes.
-
D.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
E.
roleInExpedition
Indicates the specific function, duty, or position an entity holds within the context of a particular expedition.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.