Triple
T25694275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhaka College |
E644277
|
entity |
| Predicate | oneOfTheOldestEducationalInstitutionsIn |
P160273
|
FINISHED |
| Object | Dhaka |
—
|
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: Dhaka | Statement: [Dhaka College, oneOfTheOldestEducationalInstitutionsIn, Dhaka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTheOldestEducationalInstitutionsIn Context triple: [Dhaka College, oneOfTheOldestEducationalInstitutionsIn, Dhaka]
-
A.
oneOfOldestSchoolsIn
Indicates that the subject is among the oldest schools located in the specified place or region.
-
B.
oldestInstitutionIn
Indicates that an institution is the most ancient or earliest-established one within a specified location or group.
-
C.
oneOfTheOldestCollegesIn
chosen
Indicates that the subject is among the earliest-founded colleges within the specified place or institution.
-
D.
isAmongOldestUniversitiesIn
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
E.
oldestUniversityIn
Indicates that a university is the most ancient or earliest established institution of higher education within a specified geographic region or 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 8:33 p.m.