Triple
T10185677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lausiac History |
E236901
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Lausiaca
Lausiaca is an early Christian text by Palladius that recounts the lives and ascetic practices of the Desert Fathers and Mothers in Egypt and the Near East.
|
E847759
|
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: Lausiaca | Statement: [Lausiac History, alternativeName, Lausiaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lausiaca Context triple: [Lausiac History, alternativeName, Lausiaca]
-
A.
Latorica
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
-
B.
Laeca
Laeca was a cognomen used by a branch of the ancient Roman Porcia gens, identifying a specific family line within that patrician clan.
-
C.
Luyanó
Luyanó is a traditional working-class neighborhood in Havana, Cuba, known for its dense urban fabric and vibrant local culture.
-
D.
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
-
E.
Laus
Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
- 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: Lausiaca Triple: [Lausiac History, alternativeName, Lausiaca]
Generated description
Lausiaca is an early Christian text by Palladius that recounts the lives and ascetic practices of the Desert Fathers and Mothers in Egypt and the Near East.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lausiaca Target entity description: Lausiaca is an early Christian text by Palladius that recounts the lives and ascetic practices of the Desert Fathers and Mothers in Egypt and the Near East.
-
A.
Latorica
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
-
B.
Laeca
Laeca was a cognomen used by a branch of the ancient Roman Porcia gens, identifying a specific family line within that patrician clan.
-
C.
Luyanó
Luyanó is a traditional working-class neighborhood in Havana, Cuba, known for its dense urban fabric and vibrant local culture.
-
D.
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
-
E.
Laus
Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded36e9808190b385c5aec4889e00 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317a4d99c8190941322d3de2998f5 |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d31bafe69881909c7cc6180354d84a |
completed | April 6, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31c106c90819084c47bc0b70ddbd3 |
completed | April 6, 2026, 2:36 a.m. |
Created at: March 30, 2026, 9:12 p.m.