Triple
T499653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesopotamian Arabic |
E10372
|
entity |
| Predicate | spokenInCity |
P8343
|
FINISHED |
| Object |
Sulaymaniyah
Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
|
E68420
|
NE FINISHED |
How this triple was built (4 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: Sulaymaniyah | Statement: [Mesopotamian Arabic, spokenInCity, Sulaymaniyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulaymaniyah Context triple: [Mesopotamian Arabic, spokenInCity, Sulaymaniyah]
-
A.
Najaf
Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
-
B.
Tikrit
Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
-
C.
Mosul
Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
-
D.
Erbil
Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
-
E.
Baghdad
Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sulaymaniyah Triple: [Mesopotamian Arabic, spokenInCity, Sulaymaniyah]
Generated description
Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sulaymaniyah Target entity description: Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
-
A.
Najaf
Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
-
B.
Tikrit
Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
-
C.
Mosul
Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
-
D.
Erbil
Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
-
E.
Baghdad
Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
- F. None of above. chosen
Provenance (5 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d03e47c08190b5e5e37402c6cd21 |
completed | March 1, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69a4d11cdb94819087cf0ba64194725c |
completed | March 1, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4d4e3e78c8190b7d619d1ca9ef3d6 |
completed | March 2, 2026, 12:08 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.