Triple
T19322505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rex Nemorensis |
E483261
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Nemi |
—
|
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: Nemi | Statement: [Rex Nemorensis, associatedWithPlace, Nemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemi Context triple: [Rex Nemorensis, associatedWithPlace, Nemi]
-
A.
Nemi
chosen
Nemi is a small historic town in Italy’s Lazio region, famed for its volcanic lake, strawberry festivals, and ancient Roman connections.
-
B.
Nassa
Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
-
C.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
-
D.
Narona
Narona was an important ancient Roman city and trading center in the province of Dalmatia, located near the mouth of the Neretva River in what is now southern Croatia.
-
E.
Neorio
Neorio is a coastal settlement on the Greek island of Poros, known for its beaches, pine-covered hills, and role as a popular holiday destination.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.