Triple
T32813417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtellina Casera |
E839214
|
entity |
| Predicate | heightTypical |
P573
|
FINISHED |
| Object | 8 to 10 centimeters |
—
|
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: 8 to 10 centimeters | Statement: [Valtellina Casera, heightTypical, 8 to 10 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightTypical Context triple: [Valtellina Casera, heightTypical, 8 to 10 centimeters]
-
A.
typicalHeight
chosen
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
B.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
C.
heightTraditional
Indicates a relationship where an entity’s height is specified or measured according to a traditional or customary standard or system.
-
D.
heightDescription
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
E.
heightMillimeters
Indicates the vertical size or elevation of an entity measured in millimeters.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.