Triple
T9338602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazira |
E224707
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Diyar Bakr |
E737389
|
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: Diyar Bakr | Statement: [Jazira, alsoKnownAs, Diyar Bakr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diyar Bakr Context triple: [Jazira, alsoKnownAs, Diyar Bakr]
-
A.
Diyar Bakr
chosen
Diyar Bakr is a historical region in Upper Mesopotamia, corresponding roughly to parts of modern southeastern Turkey, known for its role in medieval Islamic and pre-Islamic Near Eastern history.
-
B.
Diwaniyah
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
-
C.
Kirkuk
Kirkuk is a historically significant, oil-rich and ethnically diverse city in northern Iraq that has long been a focal point of political and territorial disputes.
-
D.
Kut-al-Amara
Kut-al-Amara is a town in southeastern Iraq on the Tigris River, historically notable as the site of a major World War I siege and British-Indian Army defeat.
-
E.
Sulaymaniyah
Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bace8488190a18c54e03be8410c |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3bad4388190ac53657027262a46 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:40 p.m.