Triple
T11351068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mud baths of Laghetto di Fanghi |
E268839
|
entity |
| Predicate | reputedBenefit |
P46000
|
FINISHED |
| Object | therapeutic properties |
—
|
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: therapeutic properties | Statement: [mud baths of Laghetto di Fanghi, reputedBenefit, therapeutic properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputedBenefit Context triple: [mud baths of Laghetto di Fanghi, reputedBenefit, therapeutic properties]
-
A.
believedBenefit
chosen
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
B.
benefice
Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
-
C.
relatedBenefit
Indicates that one entity provides an advantage, gain, or positive outcome that is connected or attributable to another entity.
-
D.
benefitsAre
Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
-
E.
benefitsCause
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or cause.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.