Triple
T34396714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal Geyser Trail |
E882849
|
entity |
| Predicate | locatedInProtectedAreaType |
P40017
|
FINISHED |
| Object | national park |
—
|
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: national park | Statement: [Terminal Geyser Trail, locatedInProtectedAreaType, national park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInProtectedAreaType Context triple: [Terminal Geyser Trail, locatedInProtectedAreaType, national park]
-
A.
situatedInProtectedArea
chosen
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
B.
locatedInProtectedEcoregion
Indicates that an entity is situated within a designated protected ecological region or conservation area.
-
C.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
D.
partOfProtectedAreaNetwork
Indicates that an area is included within and contributes to a designated network of protected areas.
-
E.
recognizedAsProtectedAreaIn
Indicates that an area is officially acknowledged or designated as a protected area within a specified jurisdiction, system, or context.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.