Triple
T9065157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineveh Plains |
E217226
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Karamlesh
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
|
E776561
|
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: Karamlesh | Statement: [Nineveh Plains, contains, Karamlesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karamlesh Context triple: [Nineveh Plains, contains, Karamlesh]
-
A.
Kailasam
Kailasam is the given name of renowned Indian filmmaker and playwright K. Balachander, a major figure in Tamil cinema and theatre.
-
B.
Surama Ghatak
Surama Ghatak was the wife of renowned Indian filmmaker Ritwik Ghatak and a figure associated with his personal and artistic life.
-
C.
Shadharwan
Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
-
D.
Sakharam
Sakharam is the central character of Vijay Tendulkar’s controversial Marathi play "Sakharam Binder," known for his cynical, domineering attitude toward women and social norms.
-
E.
Kathrada
Kathrada is a South African surname most prominently associated with anti-apartheid activist and political prisoner Ahmed Kathrada.
- 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: Karamlesh Triple: [Nineveh Plains, contains, Karamlesh]
Generated description
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karamlesh Target entity description: Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
-
A.
Kailasam
Kailasam is the given name of renowned Indian filmmaker and playwright K. Balachander, a major figure in Tamil cinema and theatre.
-
B.
Surama Ghatak
Surama Ghatak was the wife of renowned Indian filmmaker Ritwik Ghatak and a figure associated with his personal and artistic life.
-
C.
Shadharwan
Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
-
D.
Sakharam
Sakharam is the central character of Vijay Tendulkar’s controversial Marathi play "Sakharam Binder," known for his cynical, domineering attitude toward women and social norms.
-
E.
Kathrada
Kathrada is a South African surname most prominently associated with anti-apartheid activist and political prisoner Ahmed Kathrada.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bc91d48190acf62afa90eec079 |
completed | April 1, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdd4ad78819098f64d8440c7fa96 |
completed | April 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69d0013b50e081909595efe822bf5565 |
completed | April 3, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001f04db48190aaa1fb9efb36df2b |
completed | April 3, 2026, 6:07 p.m. |
Created at: March 30, 2026, 7:11 p.m.