Triple
T9935715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agalev |
E192754
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Agalev |
E192754
|
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: Agalev | Statement: [Agalev, shortName, Agalev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agalev Context triple: [Agalev, shortName, Agalev]
-
A.
Agalev
chosen
Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
-
B.
Orica
Orica is a municipality in central Honduras known for its rural communities and agricultural activities within the Francisco Morazán Department.
-
C.
Castelli
Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
-
D.
Giro
Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
-
E.
Canelli
Canelli is a town in Italy’s Piedmont region renowned for its historic wine production and UNESCO-listed underground wine cellars.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e3bfa88190a88f20f2687a2583 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228ddecfc8190850a098bf4074cc3 |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.