Triple
T27566144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Roman Law |
E695905
|
entity |
| Predicate | mayOfferInstructionIn |
P162709
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Department of Roman Law, mayOfferInstructionIn, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayOfferInstructionIn Context triple: [Department of Roman Law, mayOfferInstructionIn, English]
-
A.
mayBeOfferedFor
Indicates that one entity can potentially be provided or made available as an option to another entity.
-
B.
mayOfferConcentrationIn
Indicates that an educational program or institution is permitted to provide a specialized concentration or focus area within a broader field of study.
-
C.
mayOfferLevel
Indicates that an entity is permitted or authorized to provide or deliver a specified level or tier of something (such as service, access, or qualification).
-
D.
canInstruct
Indicates that one entity has the authority or ability to give instructions or guidance to another entity.
-
E.
mayTake
Indicates that an entity is permitted or allowed to take, enroll in, or participate in another entity (such as a course, resource, or opportunity).
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fbdc6a08190a091e3b9b685f068 |
completed | May 2, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 1:41 p.m.