Triple
T14325672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andegavum |
E355208
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Andegavensis
Andegavensis is the Latin demonym referring to an inhabitant or native of Andegavum (the historical city of Angers in France).
|
E1093396
|
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: Andegavensis | Statement: [Andegavum, hasDemonym, Andegavensis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andegavensis Context triple: [Andegavum, hasDemonym, Andegavensis]
-
A.
Arviragus
Arviragus is a noble and valiant prince in Shakespeare's play "Cymbeline," known for his loyalty, courage, and hidden royal lineage.
-
B.
Vuchetich
Vuchetich is a Russian surname most notably borne by Soviet sculptor Yevgeny Vuchetich, renowned for his monumental war memorials.
-
C.
Hoëdic
Hoëdic is a small, sparsely populated island off the coast of Brittany in northwestern France, known for its unspoiled natural landscapes and traditional fishing heritage.
-
D.
Oriturus
Oriturus is a genus of New World sparrows known for its grassland-dwelling species found in parts of Mexico.
-
E.
Gorgibus
Gorgibus is a comic bourgeois father in Molière’s play *Les Précieuses ridicules*, exasperated by his daughter and niece’s affected pretensions.
- 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: Andegavensis Triple: [Andegavum, hasDemonym, Andegavensis]
Generated description
Andegavensis is the Latin demonym referring to an inhabitant or native of Andegavum (the historical city of Angers in France).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andegavensis Target entity description: Andegavensis is the Latin demonym referring to an inhabitant or native of Andegavum (the historical city of Angers in France).
-
A.
Arviragus
Arviragus is a noble and valiant prince in Shakespeare's play "Cymbeline," known for his loyalty, courage, and hidden royal lineage.
-
B.
Vuchetich
Vuchetich is a Russian surname most notably borne by Soviet sculptor Yevgeny Vuchetich, renowned for his monumental war memorials.
-
C.
Hoëdic
Hoëdic is a small, sparsely populated island off the coast of Brittany in northwestern France, known for its unspoiled natural landscapes and traditional fishing heritage.
-
D.
Oriturus
Oriturus is a genus of New World sparrows known for its grassland-dwelling species found in parts of Mexico.
-
E.
Gorgibus
Gorgibus is a comic bourgeois father in Molière’s play *Les Précieuses ridicules*, exasperated by his daughter and niece’s affected pretensions.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4690a79c819099cc4ae9a10ba0db |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47bbc5e081908aa8b0e76661234f |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4840f0688190975d8c3c7eefb132 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:13 a.m.