Triple
T3379884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar – Certain Measures Concerning Goods and Services from the United Arab Emirates (DS526) |
E71155
|
entity |
| Predicate | WTOCaseCode |
P47092
|
FINISHED |
| Object | DS526 |
—
|
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: DS526 | Statement: [Qatar – Certain Measures Concerning Goods and Services from the United Arab Emirates (DS526), WTOCaseCode, DS526]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WTOCaseCode Context triple: [Qatar – Certain Measures Concerning Goods and Services from the United Arab Emirates (DS526), WTOCaseCode, DS526]
-
A.
typeOfJusticeMechanism
Indicates the kind or category of justice mechanism that characterizes how justice is pursued or administered in a given context.
-
B.
treatyOrLegalIssue
Indicates a formal agreement, dispute, or matter governed by treaties or legal frameworks between parties.
-
C.
legalOrigin
Indicates the foundational legal system or jurisdiction from which an entity’s laws, regulations, or legal framework are derived.
-
D.
treatyScope
Indicates the range, subject matter, or extent of issues and obligations that a treaty covers or applies to.
-
E.
treatyFocus
Indicates that a treaty is primarily concerned with, directed toward, or centered on a particular subject, issue, or area.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2ec38d88190be8c824daeca5ab6 |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada527ff308190813a7ffdcdec4322 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:14 p.m.