Triple
T34529749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illinois attorneys |
E886502
|
entity |
| Predicate | mustBeAdmittedTo |
P82580
|
FINISHED |
| Object | Illinois bar |
—
|
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: Illinois bar | Statement: [Illinois attorneys, mustBeAdmittedTo, Illinois bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeAdmittedTo Context triple: [Illinois attorneys, mustBeAdmittedTo, Illinois bar]
-
A.
admissionRequired
chosen
Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
-
B.
mayBeAdmitted
Indicates that an entity has the possibility or permission to be allowed entry or accepted into another entity or context.
-
C.
hasAdmission
Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
-
D.
admittedTo
Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
-
E.
separateAdmissionRequired
Indicates that access to this entity or activity is not covered by a general entry and requires an additional, distinct admission or ticket.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:02 a.m.