Triple
T20191735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byleth |
E492992
|
entity |
| Predicate | origin |
P410
|
FINISHED |
| Object |
Fódlan
Fódlan is the main continent and setting of the video game Fire Emblem: Three Houses, home to several rival nations and the Church of Seiros.
|
E1417120
|
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: Fódlan | Statement: [Byleth, origin, Fódlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fódlan Context triple: [Byleth, origin, Fódlan]
-
A.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
B.
Finnboda
Finnboda is a waterfront district in Nacka, Sweden, known for its former shipyard area now redeveloped into a residential and commercial neighborhood overlooking central Stockholm.
-
C.
Fámjin
Fámjin is a small coastal village on the west coast of Suðuroy in the Faroe Islands, known for its dramatic sea cliffs and historic church that houses the first Faroese flag.
-
D.
Fómeque
Fómeque is a rural municipality in Colombia known for its Andean landscapes, agriculture, and proximity to the Chingaza National Natural Park.
-
E.
Froðba
Froðba is a village on the island of Suðuroy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
- 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: Fódlan Triple: [Byleth, origin, Fódlan]
Generated description
Fódlan is the main continent and setting of the video game Fire Emblem: Three Houses, home to several rival nations and the Church of Seiros.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fódlan Target entity description: Fódlan is the main continent and setting of the video game Fire Emblem: Three Houses, home to several rival nations and the Church of Seiros.
-
A.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
B.
Finnboda
Finnboda is a waterfront district in Nacka, Sweden, known for its former shipyard area now redeveloped into a residential and commercial neighborhood overlooking central Stockholm.
-
C.
Fámjin
Fámjin is a small coastal village on the west coast of Suðuroy in the Faroe Islands, known for its dramatic sea cliffs and historic church that houses the first Faroese flag.
-
D.
Fómeque
Fómeque is a rural municipality in Colombia known for its Andean landscapes, agriculture, and proximity to the Chingaza National Natural Park.
-
E.
Froðba
Froðba is a village on the island of Suðuroy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c86799c8190844085d482c88ffe |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d8781b48190be4043a3747fd0ef |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083f2d7db081908c281445210f551b |
completed | May 16, 2026, 9:55 a.m. |
Created at: April 11, 2026, 11:37 p.m.