Triple
T10263480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camel Lights |
E240657
|
entity |
| Predicate | perceivedStrength |
P16309
|
FINISHED |
| Object | mild |
—
|
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: mild | Statement: [Camel Lights, perceivedStrength, mild]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedStrength Context triple: [Camel Lights, perceivedStrength, mild]
-
A.
perceivedPower
Indicates a relationship where one entity’s level of power, influence, or authority is judged or experienced as such by another entity, regardless of the actual power held.
-
B.
estimatedStrength
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
C.
strengthDescription
chosen
Indicates a description or characterization of the degree of strength associated with an entity or relationship.
-
D.
participantStrength
Indicates the degree or level of involvement, influence, or contribution that a participant has within a given event, interaction, or relationship.
-
E.
strength
Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:33 a.m.