Triple
T33785377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilcabamba |
E865770
|
entity |
| Predicate | healthReputation |
P87184
|
FINISHED |
| Object | high life expectancy claims |
—
|
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: high life expectancy claims | Statement: [Vilcabamba, healthReputation, high life expectancy claims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthReputation Context triple: [Vilcabamba, healthReputation, high life expectancy claims]
-
A.
publicHealthReputation
chosen
Indicates the perceived standing or esteem of an entity regarding its impact on and responsibility for public health.
-
B.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
-
C.
healthProxy
Indicates that one entity is authorized to make health-related or medical decisions on behalf of another entity.
-
D.
healthPerception
Indicates how an individual subjectively evaluates or perceives their own health status.
-
E.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:45 a.m.