Triple
T5236727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harcourt Butler Technical University |
E118237
|
entity |
| Predicate | establishedAsInstituteIn |
P59818
|
FINISHED |
| Object | 1921 |
—
|
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: 1921 | Statement: [Harcourt Butler Technical University, establishedAsInstituteIn, 1921]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsInstituteIn Context triple: [Harcourt Butler Technical University, establishedAsInstituteIn, 1921]
-
A.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
B.
establishedAsPolytechnicIn
Indicates that an institution was formally designated or founded as a polytechnic in a specific year or at a specific time.
-
C.
schoolFounded
chosen
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
D.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
-
E.
awardingBodyFoundedIn
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.