Triple
T16172666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communes of Haute-Garonne |
E392477
|
entity |
| Predicate | areGroupedIn |
P74342
|
FINISHED |
| Object | intercommunal structures |
—
|
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: intercommunal structures | Statement: [Communes of Haute-Garonne, areGroupedIn, intercommunal structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areGroupedIn Context triple: [Communes of Haute-Garonne, areGroupedIn, intercommunal structures]
-
A.
areSometimesGroupedWith
Indicates that two or more entities are occasionally but not consistently classified, treated, or considered together as part of the same group.
-
B.
groupedInto
chosen
Indicates that multiple entities are collected or organized together as members of a common group or category.
-
C.
isNarrativelyGroupedWith
Indicates that two or more elements are treated as part of the same narrative unit, sequence, or storyline within a larger context.
-
D.
groupTogether
Indicates that multiple entities are treated or arranged as a single collective unit or set.
-
E.
formedAsGroupOf
Indicates that something came into existence by being created or organized as a collection of multiple members acting together as a group.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb88c948190a1d8b5518694ad53 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.