Triple
T17848007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Misilmeri |
E445714
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Misilmeri |
—
|
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: Misilmeri | Statement: [Battle of Misilmeri, locatedIn, Misilmeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misilmeri Context triple: [Battle of Misilmeri, locatedIn, Misilmeri]
-
A.
Misilmeri
chosen
Misilmeri is a town and comune in Sicily, Italy, situated inland from the city of Palermo and known for its historic castle and surrounding agricultural landscape.
-
B.
Pisamira
Pisamira is an indigenous Tucanoan language spoken by a small community in the northwestern Amazon region of Colombia.
-
C.
Meziella
Meziella is a small, lesser-known genus of flowering plants within the water milfoil family Haloragaceae.
-
D.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
-
E.
Mahser
Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffc5fec8190adc66f7b0e264d5f |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.