Triple
T1000999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Worlds |
E21601
|
entity |
| Predicate | ordersWorldsFromHighestToLowest |
P22157
|
FINISHED |
| Object | Assiyah |
E118815
|
NE 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: Assiyah | Statement: [Four Worlds, ordersWorldsFromHighestToLowest, Assiyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assiyah Context triple: [Four Worlds, ordersWorldsFromHighestToLowest, Assiyah]
-
A.
Assiyah
chosen
Assiyah is the lowest of the four Kabbalistic worlds, representing the realm of physical creation and action.
-
B.
Al-Awja
Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
-
C.
Khorasan
Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
-
D.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
E.
Azərilər
Azərilər are a Turkic ethnic group primarily inhabiting Azerbaijan and northwestern Iran, known for their Azerbaijani language and rich cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7570b388190ada9693935792a58 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba52ebc819084e3d003a3ec8417 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.