Triple
T4331417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GP |
E96756
|
entity |
| Predicate | assignedToTerritoryType |
P55605
|
FINISHED |
| Object | overseas region and department of France |
—
|
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: overseas region and department of France | Statement: [GP, assignedToTerritoryType, overseas region and department of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assignedToTerritoryType Context triple: [GP, assignedToTerritoryType, overseas region and department of France]
-
A.
assignedUnder
Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
-
B.
assignedTo
Indicates that responsibility for a task, item, or role has been designated to a specific entity.
-
C.
assignedToState
Indicates that something has been allocated or designated to a particular state or status.
-
D.
assignedByAbbreviation
Indicates that an assignment or designation was made by an entity identified through a specific abbreviation.
-
E.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.