Triple
T29691471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPhil in Assyriology |
E751218
|
entity |
| Predicate | primaryLanguageStudied |
P5462
|
FINISHED |
| Object | Akkadian |
—
|
NE NERFINISHED |
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: Akkadian | Statement: [MPhil in Assyriology, primaryLanguageStudied, Akkadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageStudied Context triple: [MPhil in Assyriology, primaryLanguageStudied, Akkadian]
-
A.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
B.
hasLanguageOfStudy
chosen
Indicates that an entity studies or is engaged in learning a particular language.
-
C.
primaryLanguageOfInstruction
Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
-
D.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
E.
primaryLanguageHeritage
Indicates that one language is the main ancestral or culturally inherited language associated with an entity.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a017114e7148190b7479284c316443d |
completed | May 11, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a016eebd60481909212e2a49ef95fbe |
completed | May 11, 2026, 5:53 a.m. |
Created at: April 28, 2026, 7:17 p.m.