Triple
T13491199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multi-Fibre Arrangement quota system |
E318634
|
entity |
| Predicate | effectOnTrade |
P58916
|
FINISHED |
| Object | shifted production among developing countries |
—
|
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: shifted production among developing countries | Statement: [Multi-Fibre Arrangement quota system, effectOnTrade, shifted production among developing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTrade Context triple: [Multi-Fibre Arrangement quota system, effectOnTrade, shifted production among developing countries]
-
A.
effectOnTaxes
Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
-
B.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
C.
effectOnLoans
Indicates the impact or influence that one factor has on the terms, availability, or behavior of loans.
-
D.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
E.
settlementEffect
Indicates the impact or consequences that a particular settlement (such as a legal, financial, or dispute resolution agreement) has on the involved parties or situation.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.