Triple
T14254908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States – Import Prohibition of Certain Shrimp and Shrimp Products |
E353360
|
entity |
| Predicate | panelFound |
P113432
|
FINISHED |
| Object | US measure inconsistent with GATT 1994 |
—
|
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: US measure inconsistent with GATT 1994 | Statement: [United States – Import Prohibition of Certain Shrimp and Shrimp Products, panelFound, US measure inconsistent with GATT 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panelFound Context triple: [United States – Import Prohibition of Certain Shrimp and Shrimp Products, panelFound, US measure inconsistent with GATT 1994]
-
A.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
B.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
C.
ashFoundIn
Indicates that ash is present within, or has been discovered in, a specified location or material.
-
D.
panelDivision
Indicates a relationship where a larger panel or board is divided into smaller sections or segments.
-
E.
platformMate
Indicates that two entities are located on the same platform or share the same platform context at a given time.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.