Triple
T37303047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Humanities |
E926003
|
entity |
| Predicate | hasLanguageStudies |
P5462
|
FINISHED |
| Object | Urdu |
—
|
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: Urdu | Statement: [Faculty of Arts and Humanities, hasLanguageStudies, Urdu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageStudies Context triple: [Faculty of Arts and Humanities, hasLanguageStudies, Urdu]
-
A.
hasLanguageOfStudy
chosen
Indicates that an entity studies or is engaged in learning a particular language.
-
B.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
C.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
D.
hasPrimaryLanguageOfResearch
Indicates that an entity’s main or principal language used for conducting and publishing research is a specified language.
-
E.
hasLanguageOfExploration
Indicates that an entity uses or is associated with a particular language for exploration, investigation, or discovery activities.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:16 p.m.