Triple
T14325671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andegavum |
E355208
|
entity |
| Predicate | hasAlternativeLatinForm |
P5923
|
FINISHED |
| Object | Andegava |
E355208
|
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: Andegava | Statement: [Andegavum, hasAlternativeLatinForm, Andegava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andegava Context triple: [Andegavum, hasAlternativeLatinForm, Andegava]
-
A.
Andegavum
chosen
Andegavum is the Latin name for the French city of Angers, historically used in Roman and medieval sources.
-
B.
Algete
Algete is a municipality in the Community of Madrid, Spain, located to the north of the capital and characterized by its mix of residential areas and surrounding agricultural land.
-
C.
Vaala
Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
-
D.
Andom
Andom is a surname most notably associated with Aman Andom, an Ethiopian military officer and former head of state.
-
E.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
- 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_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. |
Created at: April 10, 2026, 1:13 a.m.