Triple
T1529652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAARC Summit |
E32410
|
entity |
| Predicate | intergovernmental |
P449
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SAARC Summit, intergovernmental, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intergovernmental Context triple: [SAARC Summit, intergovernmental, true]
-
A.
governmentInvolvement
Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
-
B.
isMultilateral
chosen
Indicates that a relationship, agreement, or interaction involves three or more distinct parties or entities participating together.
-
C.
involvedInternationalOrganization
Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
-
D.
federal
Indicates a relationship in which an entity is associated with, governed by, or belonging to a national-level (federal) government or system, as opposed to local or regional authorities.
-
E.
supranationalType
Indicates that one entity is classified as a specific type or category of supranational organization or authority in relation to another.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.