Triple
T17941908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottomanism |
E448606
|
entity |
| Predicate | viewedSubjectsAs |
P129813
|
FINISHED |
| Object | equal Ottomans regardless of religion |
—
|
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: equal Ottomans regardless of religion | Statement: [Ottomanism, viewedSubjectsAs, equal Ottomans regardless of religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedSubjectsAs Context triple: [Ottomanism, viewedSubjectsAs, equal Ottomans regardless of religion]
-
A.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
-
B.
viewedHistoryAs
Indicates that one entity has examined or interpreted another entity as a historical record or in the context of its past events.
-
C.
writtenExamSubjectsInclude
Indicates that the set of subjects specified is included among the subjects covered by a particular written exam.
-
D.
viewedBySomeAs
Indicates that at least one observer or group perceives or interprets an entity in a particular way or role.
-
E.
viewsLearnerAs
Indicates that one entity perceives, regards, or treats another entity specifically in the role of a learner.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.