Triple
T2680233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordesa y Monte Perdido National Park |
E56554
|
entity |
| Predicate | trailNetwork |
P39694
|
FINISHED |
| Object | extensive marked hiking trails |
—
|
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: extensive marked hiking trails | Statement: [Ordesa y Monte Perdido National Park, trailNetwork, extensive marked hiking trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailNetwork Context triple: [Ordesa y Monte Perdido National Park, trailNetwork, extensive marked hiking trails]
-
A.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
B.
streetNetwork
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
-
C.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
D.
roadTraverses
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
-
E.
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).
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.