Triple
T6765850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlaam of Calabria |
E154716
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Seminara
Seminara is a historic town in the Calabria region of southern Italy, known for its medieval heritage and religious significance.
|
E617566
|
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: Seminara | Statement: [Barlaam of Calabria, birthPlace, Seminara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seminara Context triple: [Barlaam of Calabria, birthPlace, Seminara]
-
A.
Seminar
Seminar is a Broadway play by American playwright Theresa Rebeck that follows a group of aspiring writers in a high-stakes private workshop led by a caustic literary guru.
-
B.
Semin
Semin is a Russian surname most notably borne by former NHL winger Alexander Semin.
-
C.
Séminaire de Paris
Séminaire de Paris is the principal Roman Catholic seminary responsible for the formation and training of future priests for the Archdiocese of Paris.
-
D.
Palestra
Palestra is a distinctive modern office building in London known for its striking glass-and-steel architecture and use as a major transport authority headquarters.
-
E.
The Divinity School
The Divinity School is a historic academic institution dedicated to the study of theology, religion, and related disciplines.
- 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: Seminara Triple: [Barlaam of Calabria, birthPlace, Seminara]
Generated description
Seminara is a historic town in the Calabria region of southern Italy, known for its medieval heritage and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seminara Target entity description: Seminara is a historic town in the Calabria region of southern Italy, known for its medieval heritage and religious significance.
-
A.
Seminar
Seminar is a Broadway play by American playwright Theresa Rebeck that follows a group of aspiring writers in a high-stakes private workshop led by a caustic literary guru.
-
B.
Semin
Semin is a Russian surname most notably borne by former NHL winger Alexander Semin.
-
C.
Séminaire de Paris
Séminaire de Paris is the principal Roman Catholic seminary responsible for the formation and training of future priests for the Archdiocese of Paris.
-
D.
Palestra
Palestra is a distinctive modern office building in London known for its striking glass-and-steel architecture and use as a major transport authority headquarters.
-
E.
The Divinity School
The Divinity School is a historic academic institution dedicated to the study of theology, religion, and related disciplines.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712be7f9c8190b2667fc4c8d5f601 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c713842b9c8190ae31eba0bd449968 |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71444e9ec8190a68531ed29fd9377 |
completed | March 27, 2026, 11:35 p.m. |
Created at: March 27, 2026, 2:12 p.m.