Triple
T25876021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lala Ramjas |
E651903
|
entity |
| Predicate | hasCollegeNamedAfter |
P98126
|
FINISHED |
| Object | Ramjas College |
—
|
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: Ramjas College | Statement: [Lala Ramjas, hasCollegeNamedAfter, Ramjas College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeNamedAfter Context triple: [Lala Ramjas, hasCollegeNamedAfter, Ramjas College]
-
A.
hasAcademicDivisionNamedAfter
chosen
Indicates that an academic division (such as a school, college, or department) is named in honor of a particular person or entity.
-
B.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
-
C.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
D.
notableInstitutionNamedAfter
Indicates that an institution of significant prominence is named in honor of a particular person, place, or entity.
-
E.
usesAlmaMater
Indicates that one entity makes use of, relies on, or leverages the educational institution where another entity studied or graduated.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 22, 2026, 8:12 a.m.