Triple
T13686066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergius |
E328128
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object |
Sergia
Sergia is a feminine given name derived from the Latin name Sergius.
|
E1056339
|
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: Sergia | Statement: [Sergius, hasFeminineForm, Sergia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergia Context triple: [Sergius, hasFeminineForm, Sergia]
-
A.
Alessia
Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
-
B.
Segariu
Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
-
C.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
D.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
E.
Sitalá
Sitalá is a rural municipality in the Mexican state of Chiapas known for its predominantly Tzeltal Maya population and traditional indigenous culture.
- 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: Sergia Triple: [Sergius, hasFeminineForm, Sergia]
Generated description
Sergia is a feminine given name derived from the Latin name Sergius.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sergia Target entity description: Sergia is a feminine given name derived from the Latin name Sergius.
-
A.
Alessia
Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
-
B.
Segariu
Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
-
C.
Atilia
Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
-
D.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
-
E.
Sitalá
Sitalá is a rural municipality in the Mexican state of Chiapas known for its predominantly Tzeltal Maya population and traditional indigenous culture.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66f8acc8190b2a82b722930b995 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944765488190a97d2bea8c29e698 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f7955fce288190a7e426f467517a91 |
completed | May 3, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7996cddf08190973e493fb788ce7a |
completed | May 3, 2026, 6:52 p.m. |
Created at: April 9, 2026, 9:53 p.m.