Triple
T34048251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herakleopolitan Egypt |
E873144
|
entity |
| Predicate | politicalFragmentationLevel |
P131569
|
FINISHED |
| Object | multi-centered rule in Egypt |
—
|
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: multi-centered rule in Egypt | Statement: [Herakleopolitan Egypt, politicalFragmentationLevel, multi-centered rule in Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalFragmentationLevel Context triple: [Herakleopolitan Egypt, politicalFragmentationLevel, multi-centered rule in Egypt]
-
A.
politicalFragmentationPhase
chosen
Indicates a stage or period in which a political entity or system is divided into multiple competing or disconnected parts.
-
B.
politicallyDividedInto
Indicates that a political entity is formally separated into distinct internal political units or regions.
-
C.
politicalBlocOnOneSide
Indicates that the entities belong to the same political bloc or coalition aligned on one side of a political division or conflict.
-
D.
politicalDiversity
Indicates the extent to which differing political views, affiliations, or ideologies are represented or coexist within a given group, context, or environment.
-
E.
polarizationLevel
Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:51 a.m.