Triple
T14968337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permanent Indus Commission |
E373249
|
entity |
| Predicate | typeOfDisputeHandled |
P83607
|
FINISHED |
| Object | interpretation of Indus Waters Treaty |
—
|
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: interpretation of Indus Waters Treaty | Statement: [Permanent Indus Commission, typeOfDisputeHandled, interpretation of Indus Waters Treaty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDisputeHandled Context triple: [Permanent Indus Commission, typeOfDisputeHandled, interpretation of Indus Waters Treaty]
-
A.
typeOfCasesHandled
Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
-
B.
litigationType
Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
-
C.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
D.
typeOfAppeals
Indicates the specific category or kind of appeals associated with or applied to a given case, decision, or legal action.
-
E.
legalDisputeSubject
chosen
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:48 a.m.