Triple
T8478514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Jazira region |
E200454
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | al-Jazirah |
E200454
|
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: al-Jazirah | Statement: [Al-Jazira region, alsoKnownAs, al-Jazirah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Jazirah Context triple: [Al-Jazira region, alsoKnownAs, al-Jazirah]
-
A.
Al-Jazira region
chosen
The Al-Jazira region is a historical and geographical area in Upper Mesopotamia, spanning parts of modern-day Iraq, Syria, and Turkey between the Tigris and Euphrates rivers.
-
B.
Jazira
Jazira is a historical region in Upper Mesopotamia, spanning parts of modern-day Syria, Iraq, and Turkey, that served as a key political and military theater in early Islamic history.
-
C.
Assiyah
Assiyah is the lowest of the four Kabbalistic worlds, representing the realm of physical creation and action.
-
D.
Sharqat
Sharqat is a town in northern Iraq, historically significant for its proximity to the ancient Assyrian city of Ashur.
-
E.
Sharq
Sharq is a prominent commercial and administrative district in Kuwait City known for its waterfront developments, shopping centers, and modern urban landscape.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5216d6481908e25a49bcc2e00cc |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d0a3abc8190a6fde29e728f15fe |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:12 p.m.