Triple
T17795936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Toulouse-8 |
E444291
|
entity |
| Predicate | isPartiallyComposedOf |
P94810
|
FINISHED |
| Object | part of the commune of Toulouse |
—
|
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: part of the commune of Toulouse | Statement: [Canton of Toulouse-8, isPartiallyComposedOf, part of the commune of Toulouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallyComposedOf Context triple: [Canton of Toulouse-8, isPartiallyComposedOf, part of the commune of Toulouse]
-
A.
partlyConsistsOf
chosen
Indicates that one entity is composed in part, but not entirely, of another entity.
-
B.
isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
-
C.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
D.
isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
-
E.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fafc2c8190b28e791267c47e3c |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.