Triple
T13388979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Pensées de Lafleur |
E319520
|
entity |
| Predicate | alcoholRange |
P109725
|
FINISHED |
| Object | around 13–14% ABV |
—
|
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: around 13–14% ABV | Statement: [Les Pensées de Lafleur, alcoholRange, around 13–14% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alcoholRange Context triple: [Les Pensées de Lafleur, alcoholRange, around 13–14% ABV]
-
A.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
B.
alcoholLevel
Indicates the measured concentration or amount of alcohol present in an entity (such as a person, substance, or environment).
-
C.
regulatesAlcoholLevel
Indicates a relationship where one entity controls, adjusts, or maintains the alcohol level of another entity or system.
-
D.
higherMinimumAlcoholThan
Indicates that the minimum required or actual alcohol content of one entity is greater than that of another entity.
-
E.
drinksLegalAge
Indicates that an entity has reached the minimum legal age required to consume alcoholic beverages.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:34 p.m.