Triple
T8915983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forum Cornelii |
E212297
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | Bononia |
E212293
|
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: Bononia | Statement: [Forum Cornelii, hasRoadConnection, Bononia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bononia Context triple: [Forum Cornelii, hasRoadConnection, Bononia]
-
A.
Bononia
chosen
Bononia is the ancient Roman name for the city of Bologna in northern Italy, an important urban and commercial center in the Emilia-Romagna region.
-
B.
Bononia
Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
-
C.
Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
-
D.
Provenza
"Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
-
E.
Ronchin
Ronchin is a commune in northern France that forms part of the suburban area of Lille within the Hauts-de-France region.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660f6a088190b0af829ea809d8ad |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d0965c81908841fe591283e4a4 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:56 p.m.