Triple
T9065156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineveh Plains |
E217226
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bartella
Bartella is a historically Assyrian Christian town in northern Iraq’s Nineveh Governorate, known for its ancient churches and proximity to Mosul.
|
E776560
|
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: Bartella | Statement: [Nineveh Plains, contains, Bartella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartella Context triple: [Nineveh Plains, contains, Bartella]
-
A.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
-
B.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
-
C.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
D.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
E.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
- 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: Bartella Triple: [Nineveh Plains, contains, Bartella]
Generated description
Bartella is a historically Assyrian Christian town in northern Iraq’s Nineveh Governorate, known for its ancient churches and proximity to Mosul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bartella Target entity description: Bartella is a historically Assyrian Christian town in northern Iraq’s Nineveh Governorate, known for its ancient churches and proximity to Mosul.
-
A.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
-
B.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
-
C.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
D.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
E.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
- 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.