Triple
T16174036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrasses du Larzac |
E392514
|
entity |
| Predicate | exportPresence |
P121999
|
FINISHED |
| Object | international wine markets |
—
|
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: international wine markets | Statement: [Terrasses du Larzac, exportPresence, international wine markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportPresence Context triple: [Terrasses du Larzac, exportPresence, international wine markets]
-
A.
statePresence
Indicates that an entity exists, operates, or is present within a particular state or governmental jurisdiction.
-
B.
maintainedPresence
Indicates that an entity continuously remained in or kept an ongoing presence within a particular context, location, or situation over a period of time.
-
C.
onlinePresence
Indicates that an entity maintains a presence or representation on the internet, such as through websites, profiles, or digital platforms.
-
D.
modernPresence
Indicates that something exists, appears, or is active in the contemporary or present-day context.
-
E.
traditionalPresenceIn
Indicates that an entity has a customary or historically established presence within a particular place, context, or setting.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb9b8208190b60874cec7a3a98e |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.