Triple
T743266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Golden Age |
E15288
|
entity |
| Predicate | fieldAdvanced |
P18906
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [Islamic Golden Age, fieldAdvanced, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldAdvanced Context triple: [Islamic Golden Age, fieldAdvanced, mathematics]
-
A.
fieldCovered
Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
-
B.
fieldPattern
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
C.
fieldQuality
Indicates the assessed level or degree of quality associated with a particular field or attribute in a given context.
-
D.
fieldName
Indicates the specific name or label assigned to a field within a data structure, form, or record.
-
E.
fieldIntersection
Indicates that two or more fields or domains share a common overlapping area or set of elements.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.