Triple
T9442385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ausones |
E227677
|
entity |
| Predicate | identifiedWith |
P13264
|
FINISHED |
| Object | Aurunci |
E45395
|
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: Aurunci | Statement: [Ausones, identifiedWith, Aurunci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurunci Context triple: [Ausones, identifiedWith, Aurunci]
-
A.
Aurunci
chosen
The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
-
B.
Vulci
Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
-
C.
Vezio
Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
-
D.
Marrucini
The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
-
E.
Tarquinii
Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f300cc88190a793712706295c53 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1225df53c819091b64f8cda159ae9 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:50 p.m.