Triple
T35481304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago legal community |
E1025476
|
entity |
| Predicate | hasMajorLawSchool |
P79124
|
FINISHED |
| Object | University of Chicago Law School |
E46949
|
NE 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: University of Chicago Law School | Statement: [Chicago legal community, hasMajorLawSchool, University of Chicago Law School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorLawSchool Context triple: [Chicago legal community, hasMajorLawSchool, University of Chicago Law School]
-
A.
majorSchoolOfLaw
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
-
B.
containsLawSchool
chosen
Indicates that one entity includes or encompasses a law school as part of its structure, contents, or composition.
-
C.
lawSchoolName
Indicates the name of the law school with which an entity (such as a person or institution) is associated.
-
D.
studiedLawIn
Indicates that a person received legal education or training at a particular institution or location.
-
E.
hasLegalEducationInstitution
Indicates that an entity is associated with or linked to an institution that provides legal education.
- F. None of above.
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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0227ce59a081909fe1ba1181d86b4d |
completed | May 11, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38403f9c448190ad45f69aa7f68309 |
completed | June 21, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_6a02273989208190beb948b8c7bdaee3 |
completed | May 11, 2026, 7 p.m. |
Created at: May 3, 2026, 4:04 p.m.