Triple
T36600974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imam of the Nizari Ismaili Muslims |
E902911
|
entity |
| Predicate | institutionalNetwork |
P177795
|
FINISHED |
| Object | Aga Khan Development Network |
—
|
NE NERFINISHED |
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: Aga Khan Development Network | Statement: [Imam of the Nizari Ismaili Muslims, institutionalNetwork, Aga Khan Development Network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionalNetwork Context triple: [Imam of the Nizari Ismaili Muslims, institutionalNetwork, Aga Khan Development Network]
-
A.
typeOfInstitutionNetwork
Indicates a relationship where an institution is classified as belonging to a particular type or category of institutional network.
-
B.
hostInstitutionNetwork
chosen
Indicates a relationship where an institution is part of, connected to, or participates in a broader institutional network or consortium.
-
C.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
D.
isInstitutional
Indicates that an entity functions as or is classified as an institution within the given context.
-
E.
inNetwork
Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c30c8a0c819080129402f7c3f0c8 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1bbf5848190a698fdbec307886a |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.