Triple
T24611260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monferrato of the Infernot |
E609119
|
entity |
| Predicate | materialOfCellars |
P92387
|
FINISHED |
| Object | local stone |
—
|
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: local stone | Statement: [Monferrato of the Infernot, materialOfCellars, local stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfCellars Context triple: [Monferrato of the Infernot, materialOfCellars, local stone]
-
A.
hasCellars
Indicates that one entity possesses or contains one or more cellars associated with it.
-
B.
barrelMaterial
Indicates the material from which a barrel is made or constructed.
-
C.
hasUndergroundCellarsLength
Indicates that an entity possesses underground cellars whose length is specified or measured.
-
D.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
-
E.
materialOfCaves
chosen
Indicates that a specified material composes or forms the primary substance of certain caves.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.