Triple
T14612821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort St. Frédéric |
E343001
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Saint Frédéric
Saint Frédéric is a Christian saint after whom the historic French colonial Fort St. Frédéric in North America was named.
|
E1111238
|
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: Saint Frédéric | Statement: [Fort St. Frédéric, namedAfter, Saint Frédéric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Frédéric Context triple: [Fort St. Frédéric, namedAfter, Saint Frédéric]
-
A.
Saint Landry of Paris
Saint Landry of Paris was a 7th-century bishop renowned for his charity and care for the poor, later venerated as a Catholic saint.
-
B.
Francis of Meyronnes
Francis of Meyronnes was a medieval Franciscan theologian and philosopher, noted as a prominent representative of the Scotist school of thought.
-
C.
Saint Ferréol
Saint Ferréol is a Christian saint after whom various places and landmarks, such as Lac de Saint-Ferréol in France, are named.
-
D.
Saint Lambert
Saint Lambert was a 7th-century bishop and martyr venerated in the Low Countries, especially associated with Maastricht and Liège.
-
E.
Saint Guilhem
Saint Guilhem is a revered medieval Frankish nobleman and Benedictine abbot, celebrated as a Christian saint and hero of both history and legend in southern France.
- 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: Saint Frédéric Triple: [Fort St. Frédéric, namedAfter, Saint Frédéric]
Generated description
Saint Frédéric is a Christian saint after whom the historic French colonial Fort St. Frédéric in North America was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint Frédéric Target entity description: Saint Frédéric is a Christian saint after whom the historic French colonial Fort St. Frédéric in North America was named.
-
A.
Saint Landry of Paris
Saint Landry of Paris was a 7th-century bishop renowned for his charity and care for the poor, later venerated as a Catholic saint.
-
B.
Francis of Meyronnes
Francis of Meyronnes was a medieval Franciscan theologian and philosopher, noted as a prominent representative of the Scotist school of thought.
-
C.
Saint Ferréol
Saint Ferréol is a Christian saint after whom various places and landmarks, such as Lac de Saint-Ferréol in France, are named.
-
D.
Saint Lambert
Saint Lambert was a 7th-century bishop and martyr venerated in the Low Countries, especially associated with Maastricht and Liège.
-
E.
Saint Guilhem
Saint Guilhem is a revered medieval Frankish nobleman and Benedictine abbot, celebrated as a Christian saint and hero of both history and legend in southern France.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92110e88190af47b713dd24520b |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb35a57f08190a2d3fe426185bc31 |
completed | May 8, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb400e08081908d0a782908ba5459 |
completed | May 8, 2026, 9:59 a.m. |
Created at: April 10, 2026, 1:25 a.m.