Triple
T9116270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Loma Linda |
E218724
|
entity |
| Predicate | publicHealthReputation |
P87184
|
FINISHED |
| Object | model of lifestyle medicine |
—
|
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: model of lifestyle medicine | Statement: [City of Loma Linda, publicHealthReputation, model of lifestyle medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHealthReputation Context triple: [City of Loma Linda, publicHealthReputation, model of lifestyle medicine]
-
A.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
B.
localReputation
Indicates the perceived standing, trustworthiness, or esteem an entity holds within a specific local community or area.
-
C.
regionalReputation
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
-
D.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
E.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.