Triple
T19021962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles of Durazzo |
E465506
|
entity |
| Predicate | territoryRuled |
P3022
|
FINISHED |
| Object |
Gravina
Gravina is a historic town in the Apulia region of southern Italy, known for its ancient cave dwellings and medieval architecture.
|
E1355040
|
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: Gravina | Statement: [Charles of Durazzo, territoryRuled, Gravina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gravina Context triple: [Charles of Durazzo, territoryRuled, Gravina]
-
A.
Gravina
Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
-
B.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
C.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
D.
Moura
Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
-
E.
Merant
Merant was a software company known for its development and configuration management tools, including ownership of the PVCS version control product.
- 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: Gravina Triple: [Charles of Durazzo, territoryRuled, Gravina]
Generated description
Gravina is a historic town in the Apulia region of southern Italy, known for its ancient cave dwellings and medieval architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gravina Target entity description: Gravina is a historic town in the Apulia region of southern Italy, known for its ancient cave dwellings and medieval architecture.
-
A.
Gravina
Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
-
B.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
-
C.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
-
D.
Moura
Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
-
E.
Merant
Merant was a software company known for its development and configuration management tools, including ownership of the PVCS version control product.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6dfa3c88190a057c3385d680cf8 |
completed | April 20, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be542b288190a029a9f639240ec0 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf4f8d0081909483a89498402f7c |
completed | May 14, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bfe2ab5c8190a969f060b01ee913 |
completed | May 14, 2026, 12:28 p.m. |
Created at: April 10, 2026, 12:02 p.m.