Triple
T6845276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Terni |
E157878
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
San Gemini
San Gemini is a historic medieval hill town in central Italy’s Umbria region, renowned for its mineral springs and well-preserved architecture.
|
E623013
|
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: San Gemini | Statement: [Province of Terni, contains, San Gemini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Gemini Context triple: [Province of Terni, contains, San Gemini]
-
A.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
B.
Samario
Samario is the Spanish demonym for a person from the city of Santa Marta in Colombia.
-
C.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
D.
San Diu
San Diu are an ethnic minority group in northern Vietnam, known for their distinct language, folk songs, and cultural traditions influenced by both Vietnamese and southern Chinese heritage.
-
E.
Thaton
Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the 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: San Gemini Triple: [Province of Terni, contains, San Gemini]
Generated description
San Gemini is a historic medieval hill town in central Italy’s Umbria region, renowned for its mineral springs and well-preserved architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Gemini Target entity description: San Gemini is a historic medieval hill town in central Italy’s Umbria region, renowned for its mineral springs and well-preserved architecture.
-
A.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
B.
Samario
Samario is the Spanish demonym for a person from the city of Santa Marta in Colombia.
-
C.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
D.
San Diu
San Diu are an ethnic minority group in northern Vietnam, known for their distinct language, folk songs, and cultural traditions influenced by both Vietnamese and southern Chinese heritage.
-
E.
Thaton
Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7304c0bac8190a9ece4e50ab49586 |
completed | March 28, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7310fa9bc8190bfb0a43890dc5e96 |
completed | March 28, 2026, 1:38 a.m. |
Created at: March 27, 2026, 2:19 p.m.