Triple
T6311072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallia Lugdunensis |
E141501
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Andecavum |
E357898
|
NE FINISHED |
How this triple was built (2 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: Andecavum | Statement: [Gallia Lugdunensis, majorCity, Andecavum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andecavum Context triple: [Gallia Lugdunensis, majorCity, Andecavum]
-
A.
Andecavorum
chosen
Andecavorum is the ancient Latin name for the city now known as Angers in western France.
-
B.
Aventinus
Aventinus is the Latin name for the Aventine Hill, one of the seven hills of ancient Rome historically associated with plebeian settlement and several important temples.
-
C.
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
D.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
E.
Antrodoco
Antrodoco is a small historic town in the Lazio region of central Italy, situated in a mountainous area known for its medieval architecture and natural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.