Triple
T7787170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranchi University |
E187274
|
entity |
| Predicate | hasAffiliatedUnit |
P73892
|
FINISHED |
| Object | affiliated colleges |
—
|
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: affiliated colleges | Statement: [Ranchi University, hasAffiliatedUnit, affiliated colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAffiliatedUnit Context triple: [Ranchi University, hasAffiliatedUnit, affiliated colleges]
-
A.
hasAcademicUnit
Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
-
B.
hasAffiliationModel
Indicates that one entity uses, follows, or is governed by a particular affiliation model in its relationships or organizational structure.
-
C.
hasAdministrativeUnit
Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
-
D.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
E.
isRelatedUnit
chosen
Indicates that one unit has a defined relationship or association with another unit within a given system or context.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:24 p.m.