Triple
T172981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of American Law Schools |
E3515
|
entity |
| Predicate | typicalMember |
P2776
|
FINISHED |
| Object | accredited law school in the United States |
—
|
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: accredited law school in the United States | Statement: [Association of American Law Schools, typicalMember, accredited law school in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMember Context triple: [Association of American Law Schools, typicalMember, accredited law school in the United States]
-
A.
typicalMembers
chosen
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
committeeMember
Indicates that an entity serves as a member of a particular committee.
-
C.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
-
D.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
E.
memberTitle
Indicates the formal title or designation held by a member within a group, organization, or body.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.