Triple
T24082043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classical archaeology |
E596528
|
entity |
| Predicate | institutionallyTaughtAt |
P2858
|
FINISHED |
| Object | universities |
—
|
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: universities | Statement: [Classical archaeology, institutionallyTaughtAt, universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionallyTaughtAt Context triple: [Classical archaeology, institutionallyTaughtAt, universities]
-
A.
firstTaughtAt
Indicates the institution or place where an entity (typically a person) began their teaching career or taught for the first time.
-
B.
trainingInstitution
chosen
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
-
E.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:43 p.m.