Triple
T6523292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barolo |
E151240
|
entity |
| Predicate | primaryAroma |
P71396
|
FINISHED |
| Object | tar |
—
|
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: tar | Statement: [Barolo, primaryAroma, tar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAroma Context triple: [Barolo, primaryAroma, tar]
-
A.
primaryTone
Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
-
B.
primaryPigment
Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
-
C.
primaryGrapeVariety
Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
-
D.
primaryHeir
Indicates that one entity is the main or principal inheritor of another entity’s estate, title, or rights.
-
E.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.