Triple
T26803586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varendra |
E671163
|
entity |
| Predicate | hasInstitutionNamedAfter |
P97290
|
FINISHED |
| Object | Varendra Research Museum |
—
|
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: Varendra Research Museum | Statement: [Varendra, hasInstitutionNamedAfter, Varendra Research Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionNamedAfter Context triple: [Varendra, hasInstitutionNamedAfter, Varendra Research Museum]
-
A.
notableInstitutionNamedAfter
chosen
Indicates that an institution of significant prominence is named in honor of a particular person, place, or entity.
-
B.
hasAcademicDivisionNamedAfter
Indicates that an academic division (such as a school, college, or department) is named in honor of a particular person or entity.
-
C.
hasAcademicChairNamedAfter
Indicates that an academic chair or professorship is named in honor of a particular person or entity.
-
D.
namedAfterInstitution
Indicates that one entity has been given a name derived from or in honor of an institution.
-
E.
associatedInstitutionFounded
Indicates that the referenced institution was founded or established by, or in direct connection with, the subject entity.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 4:24 a.m.