Triple
T19093536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter Egg |
E467347
|
entity |
| Predicate | valueAssessment |
P87934
|
FINISHED |
| Object | one of the most valuable Fabergé eggs |
—
|
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: one of the most valuable Fabergé eggs | Statement: [Winter Egg, valueAssessment, one of the most valuable Fabergé eggs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueAssessment Context triple: [Winter Egg, valueAssessment, one of the most valuable Fabergé eggs]
-
A.
evaluationAspect
Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
-
B.
valuationStatus
Indicates the current state or condition of an entity’s assessed value within a valuation process (e.g., pending, active, finalized, or invalid).
-
C.
valuationDescription
chosen
Indicates that a textual explanation or narrative is provided describing how an entity has been valued or appraised.
-
D.
evaluationModel
Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
-
E.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34cf5e481908e1f180dacd5602f |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.