Triple
T15638745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Social Sciences, University of Karachi |
E376010
|
entity |
| Predicate | fieldGroup |
P16559
|
FINISHED |
| Object | arts |
—
|
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: arts | Statement: [Faculty of Arts and Social Sciences, University of Karachi, fieldGroup, arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldGroup Context triple: [Faculty of Arts and Social Sciences, University of Karachi, fieldGroup, arts]
-
A.
fieldComponent
Indicates that one entity functions as a constituent or sub-part within a larger field or domain defined by another entity.
-
B.
labelGroup
chosen
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
C.
fieldComposition
Indicates how the components or elements within a field are organized, combined, or structured in relation to one another.
-
D.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
-
E.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.