Triple
T346920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île-de-France |
E6961
|
entity |
| Predicate | GDPShareOfFrance |
P12639
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Île-de-France, GDPShareOfFrance, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GDPShareOfFrance Context triple: [Île-de-France, GDPShareOfFrance, high]
-
A.
coversShareOfWorldGDP
Indicates that the subject accounts for a specified proportion of the total gross domestic product produced worldwide.
-
B.
GDPPerCapitaRanking
Indicates the relative position of an entity in an ordered list based on its gross domestic product (GDP) per person.
-
C.
OECDMember
Indicates that an entity is a member country or participant in the Organisation for Economic Co-operation and Development (OECD).
-
D.
gdpRankInUS
Indicates the relative position of an entity in the ranking of U.S. entities based on their Gross Domestic Product (GDP).
-
E.
WorldBankMember
Indicates that an entity is a member country or organization formally belonging to the World Bank.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.