Triple
T17699046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Montepeloso |
E441246
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object | Irsina |
—
|
NE NERFINISHED |
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: Irsina | Statement: [Battle of Montepeloso, locatedInPresentDay, Irsina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irsina Context triple: [Battle of Montepeloso, locatedInPresentDay, Irsina]
-
A.
Irsina
chosen
Irsina is a historic hilltop town in the Basilicata region of southern Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
-
B.
Irra
Irra is a Mesopotamian god associated with war, plague, and destruction, often regarded as a fierce aspect or manifestation of the underworld deity Nergal.
-
C.
Iaru
Iaru is the ancient Egyptian paradise-like afterlife realm, often depicted as fertile reed fields where the blessed dead live eternally.
-
D.
Gisir
Gisir is a Bantu language spoken in Central Africa, closely related to and geographically adjacent to Myene.
-
E.
Arispe
Arispe is a small unincorporated rural community located in Ringgold County, Iowa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.