Triple
T19804765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assiah |
E475780
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Assiyah |
—
|
NE NERFINISHED |
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: [Assiah, hasTransliteration, Assiyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assiyah Context triple: [Assiah, hasTransliteration, Assiyah]
-
A.
Assiyah
chosen
Assiyah is the lowest of the four Kabbalistic worlds, representing the realm of physical creation and action.
-
B.
Sharq
Sharq is a prominent commercial and administrative district in Kuwait City known for its waterfront developments, shopping centers, and modern urban landscape.
-
C.
Mawarannahr
Mawarannahr is the historical region of Transoxiana in Central Asia, centered between the Amu Darya and Syr Darya rivers and encompassing key Silk Road cities such as Samarkand and Bukhara.
-
D.
Mashriq
Mashriq is the historical term for the eastern Arab and Islamic lands, typically referring to the Levant, Mesopotamia, and surrounding regions.
-
E.
Arabia Terra
Arabia Terra is a vast, heavily cratered highland region in the northern hemisphere of Mars, notable for its ancient terrain and geological diversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65427546c819082c8eb0d63e3f5fe |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.