Triple
T4527186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logudoro |
E106207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Romana
Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
|
E449796
|
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: Romana | Statement: [Logudoro, contains, Romana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romana Context triple: [Logudoro, contains, Romana]
-
A.
Romana
Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
-
B.
Rumuola
Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
-
C.
Horahane Roma
Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
-
D.
Ruoms
Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
-
E.
Rromani
Rromani refers to the Roma people, an ethnic group of traditionally itinerant communities with origins in the Indian subcontinent and a widespread presence across Europe and beyond.
- 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: Romana Triple: [Logudoro, contains, Romana]
Generated description
Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romana Target entity description: Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
-
A.
Romana
Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
-
B.
Rumuola
Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
-
C.
Horahane Roma
Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
-
D.
Ruoms
Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
-
E.
Rromani
Rromani refers to the Roma people, an ethnic group of traditionally itinerant communities with origins in the Indian subcontinent and a widespread presence across Europe and beyond.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4577d0c8190a88cdf4523446329 |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda8367b988190bd6859581ba9a38e |
completed | March 20, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda8b4d064819083de58ee18458fa8 |
completed | March 20, 2026, 8:06 p.m. |
Created at: March 20, 2026, 1:03 p.m.