Triple
T7046008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standing Committee of SAARC |
E163631
|
entity |
| Predicate | typicalRepresentativeRank |
P9317
|
FINISHED |
| Object | foreign secretary |
—
|
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: foreign secretary | Statement: [Standing Committee of SAARC, typicalRepresentativeRank, foreign secretary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRepresentativeRank Context triple: [Standing Committee of SAARC, typicalRepresentativeRank, foreign secretary]
-
A.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
-
B.
typicalRank
chosen
Indicates the usual or most common rank or position an entity holds within a given ordering or hierarchy.
-
C.
canonicalRank
Indicates the standard or officially recognized rank or level assigned to an entity within an ordered hierarchy.
-
D.
rankIndicated
Indicates that one entity specifies, denotes, or reveals the hierarchical rank or level of another entity.
-
E.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.