Triple
T10053371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mardin |
E208803
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Mardin Ridge
Mardin Ridge is a prominent elevated landform in southeastern Turkey that overlooks and shapes the historic city of Mardin and its surroundings.
|
E836999
|
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: Mardin Ridge | Statement: [Mardin, locatedOn, Mardin Ridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mardin Ridge Context triple: [Mardin, locatedOn, Mardin Ridge]
-
A.
Turtusha
Turtusha is the historical Arabic name for the city of Tortosa in Catalonia, Spain, which was an important medieval port and cultural center.
-
B.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
C.
Kilik Pass
Kilik Pass is a high mountain pass in the Karakoram range that historically served as an important trade and travel route between Central and South Asia.
-
D.
Sani Pass
Sani Pass is a high, rugged mountain pass between South Africa and Lesotho, famed for its steep, winding gravel road and dramatic Drakensberg scenery.
-
E.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
- 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: Mardin Ridge Triple: [Mardin, locatedOn, Mardin Ridge]
Generated description
Mardin Ridge is a prominent elevated landform in southeastern Turkey that overlooks and shapes the historic city of Mardin and its surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mardin Ridge Target entity description: Mardin Ridge is a prominent elevated landform in southeastern Turkey that overlooks and shapes the historic city of Mardin and its surroundings.
-
A.
Turtusha
Turtusha is the historical Arabic name for the city of Tortosa in Catalonia, Spain, which was an important medieval port and cultural center.
-
B.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
C.
Kilik Pass
Kilik Pass is a high mountain pass in the Karakoram range that historically served as an important trade and travel route between Central and South Asia.
-
D.
Sani Pass
Sani Pass is a high, rugged mountain pass between South Africa and Lesotho, famed for its steep, winding gravel road and dramatic Drakensberg scenery.
-
E.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9241208190b38e5e7a1604589c |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282a3d3148190908f02a9588b700e |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d2839311508190a59c1d393cc38785 |
completed | April 5, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2843fff188190a21ced57523c329a |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:57 p.m.