Triple
T14038684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dientes de Navarino trekking circuit |
E337779
|
entity |
| Predicate | hasInfrastructureLevel |
P43100
|
FINISHED |
| Object | minimal |
—
|
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: minimal | Statement: [Dientes de Navarino trekking circuit, hasInfrastructureLevel, minimal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureLevel Context triple: [Dientes de Navarino trekking circuit, hasInfrastructureLevel, minimal]
-
A.
hasInfrastructureAbove
Indicates that one entity’s infrastructure is physically located above or over another entity.
-
B.
infrastructureLevel
chosen
Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
-
C.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
D.
hasGlobalInfrastructure
Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
-
E.
hasFacilityLevel
Indicates the degree or tier of capability, service, or infrastructure that a particular facility possesses.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.