Triple
T32883359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanglong Airport |
E841126
|
entity |
| Predicate | healthAdvisory |
P175546
|
FINISHED |
| Object | passengers may experience altitude sickness |
—
|
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: passengers may experience altitude sickness | Statement: [Huanglong Airport, healthAdvisory, passengers may experience altitude sickness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthAdvisory Context triple: [Huanglong Airport, healthAdvisory, passengers may experience altitude sickness]
-
A.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
B.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
-
C.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
D.
healthAuthority
Indicates that an entity serves as an official body responsible for overseeing, regulating, or managing health-related matters for another entity or within a specific jurisdiction.
-
E.
healthAssociation
Indicates a relationship where one factor, condition, or entity is linked to an effect, outcome, or status related to health.
- F. None of above. chosen
Provenance (4 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:18 a.m.