Triple
T14565763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorrain Romance |
E341780
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Messin
Messin is a regional Romance dialect spoken around the city of Metz in northeastern France, belonging to the Lorrain linguistic group.
|
E1107281
|
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: Messin | Statement: [Lorrain Romance, hasDialect, Messin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messin Context triple: [Lorrain Romance, hasDialect, Messin]
-
A.
Ystalyfera
Ystalyfera is a former industrial village in the Swansea Valley of South Wales, known historically for its coal mining and ironworks.
-
B.
Mors
Mors is a large Danish island in the Limfjord, known for its varied coastal landscapes, agricultural areas, and the town of Nykøbing Mors.
-
C.
Mors
Mors is the Roman personification of death, often depicted as a shadowy or skeletal figure associated with the end of life.
-
D.
Corona Ferrea
Corona Ferrea is the historic Iron Crown of Lombardy, a medieval royal crown traditionally used in the coronation of kings of Italy and the Holy Roman Emperors.
-
E.
Dryas
Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
- 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: Messin Triple: [Lorrain Romance, hasDialect, Messin]
Generated description
Messin is a regional Romance dialect spoken around the city of Metz in northeastern France, belonging to the Lorrain linguistic group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Messin Target entity description: Messin is a regional Romance dialect spoken around the city of Metz in northeastern France, belonging to the Lorrain linguistic group.
-
A.
Ystalyfera
Ystalyfera is a former industrial village in the Swansea Valley of South Wales, known historically for its coal mining and ironworks.
-
B.
Mors
Mors is a large Danish island in the Limfjord, known for its varied coastal landscapes, agricultural areas, and the town of Nykøbing Mors.
-
C.
Mors
Mors is the Roman personification of death, often depicted as a shadowy or skeletal figure associated with the end of life.
-
D.
Corona Ferrea
Corona Ferrea is the historic Iron Crown of Lombardy, a medieval royal crown traditionally used in the coronation of kings of Italy and the Holy Roman Emperors.
-
E.
Dryas
Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac485688190a2917251a7c8721a |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8d0701208190917a0a4f5e493586 |
completed | May 8, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8da450108190b1ed174db5f100c4 |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 10, 2026, 1:23 a.m.