Triple
T27249059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Charmes (Chambolle-Musigny vineyard) |
E687431
|
entity |
| Predicate | oldWorldOrNewWorld |
P162279
|
FINISHED |
| Object | Old World |
—
|
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: Old World | Statement: [Les Charmes (Chambolle-Musigny vineyard), oldWorldOrNewWorld, Old World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldWorldOrNewWorld Context triple: [Les Charmes (Chambolle-Musigny vineyard), oldWorldOrNewWorld, Old World]
-
A.
oneOfWorlds
Indicates that an entity is a member of, or belongs to, a specified set or collection of possible worlds.
-
B.
hasWorld
Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
-
C.
worldFirst
Indicates that an entity is the first in the world to achieve, create, or perform a particular thing or action.
-
D.
worldNumber
Indicates the specific world, dimension, or universe identifier associated with an entity or event.
-
E.
considersWorld
Indicates that one entity regards, evaluates, or takes into account another entity as a world or overall context.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626b3e5508190acb0c7b03e465b31 |
completed | May 2, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 10:43 a.m.