Triple
T7805136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dickson Poon School of Law |
E180529
|
entity |
| Predicate | establishedAsNamedSchool |
P79115
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [The Dickson Poon School of Law, establishedAsNamedSchool, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsNamedSchool Context triple: [The Dickson Poon School of Law, establishedAsNamedSchool, 2012]
-
A.
operatedAsSchoolUntil
Indicates that an entity functioned in the role or capacity of a school up to a specified end time or date.
-
B.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
schoolTypeFounded
Indicates the type or category of school that was established or created in a founding event.
-
E.
servedAsEarlySchoolFor
Indicates that one entity functioned as an initial or predecessor school for another entity before it became a later or more formal educational institution.
- F. None of above. chosen
Provenance (4 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:35 p.m.