Triple
T6878845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stability and Growth Pact |
E158739
|
entity |
| Predicate | debtReferenceValue |
P482
|
FINISHED |
| Object | 60% of GDP |
—
|
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: 60% of GDP | Statement: [Stability and Growth Pact, debtReferenceValue, 60% of GDP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debtReferenceValue Context triple: [Stability and Growth Pact, debtReferenceValue, 60% of GDP]
-
A.
debt
Indicates that one entity owes money or an obligation to another entity, typically to be repaid under agreed conditions.
-
B.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
C.
debtorNationality
Indicates that the specified nationality is the country of citizenship or legal national affiliation of the debtor in the relationship.
-
D.
decimalizationRelatedTo
Indicates a relationship where one entity is connected to the process, consequences, or context of converting a system (typically currency or measurement) to a decimal-based format.
-
E.
settlementReference
Indicates a reference or link from one entity to a specific settlement (e.g., town, village, or city) with which it is associated.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e498bc81908b2fbe0c6a8b95b7 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.