Triple
T2595879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | south-central France |
E58228
|
entity |
| Predicate | roleInFrance |
P23853
|
FINISHED |
| Object | important water catchment area |
—
|
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: important water catchment area | Statement: [south-central France, roleInFrance, important water catchment area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFrance Context triple: [south-central France, roleInFrance, important water catchment area]
-
A.
roleInBordeaux
Indicates that an entity holds or has held a specific role, function, or position within the context of Bordeaux.
-
B.
FrenchRole
chosen
Indicates a role or position that an entity holds specifically within a French context (e.g., in France or related to French institutions, culture, or language).
-
C.
partyRoleOfFrance
Indicates the specific role or capacity that France holds as a party within a given agreement, event, or relationship.
-
D.
roleInEurope
Indicates that an entity holds a specific function, position, or responsibility within a European context, such as within Europe as a region or its institutions.
-
E.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.