Triple
T6555828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Martin Luther King Jr. Library |
E152443
|
entity |
| Predicate | academicAccess |
P71778
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dr. Martin Luther King Jr. Library, academicAccess, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicAccess Context triple: [Dr. Martin Luther King Jr. Library, academicAccess, yes]
-
A.
academicUse
Indicates that something is intended for, suitable for, or used within an academic or educational context.
-
B.
academicSupport
Indicates that one entity provides educational assistance, guidance, or resources to help another entity succeed academically.
-
C.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
D.
academicContext
Indicates the educational or scholarly setting, framework, or circumstances within which an activity, relationship, or piece of information takes place.
-
E.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:51 p.m.