Triple
T32332473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Law |
E826087
|
entity |
| Predicate | onlyLawSchoolIn |
P79124
|
FINISHED |
| Object | state of Maine |
—
|
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: state of Maine | Statement: [Maine Law, onlyLawSchoolIn, state of Maine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onlyLawSchoolIn Context triple: [Maine Law, onlyLawSchoolIn, state of Maine]
-
A.
isOnlyPublicLawSchoolIn
Indicates that a law school is the sole public law school located within a specified geographic or administrative region.
-
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.
legalSchoolFor
Indicates that one entity is an educational institution recognized or designated as a law school for another entity (such as a person, jurisdiction, or program).
-
E.
studiedLawIn
Indicates that a person received legal education or training at a particular institution or location.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bdf0d6988190bd745ece41f30661 |
completed | May 3, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69f6b633e0c88190a727bb7d2751e2d5 |
completed | May 3, 2026, 2:43 a.m. |
Created at: May 1, 2026, 12:47 a.m.