Triple
T139261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlot |
E2815
|
entity |
| Predicate | bodyLevel |
P5974
|
FINISHED |
| Object | medium to full |
—
|
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: medium to full | Statement: [Merlot, bodyLevel, medium to full]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyLevel Context triple: [Merlot, bodyLevel, medium to full]
-
A.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
B.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
C.
highestBody
Indicates that one entity is the tallest or most elevated body (e.g., physical object, celestial body, or structural component) relative to a specified set or context.
-
D.
meetsAtLevel
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
E.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a2565426c08190aab68e34a6a2d60e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.