Triple
T6099557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Iraq |
E135959
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Baqubah |
E368554
|
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: Baqubah | Statement: [central Iraq, includesCity, Baqubah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baqubah Context triple: [central Iraq, includesCity, Baqubah]
-
A.
Baqubah
chosen
Baqubah is a city in eastern Iraq that serves as the capital of Diyala Governorate and lies northeast of Baghdad.
-
B.
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.
-
C.
Najaf
Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
-
D.
Diwaniyah
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
-
E.
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.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1358d0e18819084e2acb9e75271b4 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:13 p.m.