Triple
T721752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Caliphates |
E14630
|
entity |
| Predicate | successorInIdea |
P18546
|
FINISHED |
| Object | modern Islamist concepts of caliphate |
—
|
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: modern Islamist concepts of caliphate | Statement: [Islamic Caliphates, successorInIdea, modern Islamist concepts of caliphate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInIdea Context triple: [Islamic Caliphates, successorInIdea, modern Islamist concepts of caliphate]
-
A.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
B.
successorCategory
Indicates that one category directly follows or replaces another in an ordered sequence or hierarchy.
-
C.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
D.
successorSeries
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
-
E.
successorSpeech
Indicates that one speech or spoken segment directly follows another in sequence, serving as its immediate successor.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.