Triple
T14588372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vespasii family |
E342377
|
entity |
| Predicate | geographicOrigin |
P1041
|
FINISHED |
| Object | Reate |
E1009457
|
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: Reate | Statement: [Vespasii family, geographicOrigin, Reate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reate Context triple: [Vespasii family, geographicOrigin, Reate]
-
A.
Reate
chosen
Reate was an important ancient town of the Sabine people in central Italy, located in the fertile Rieti valley.
-
B.
Cesena
Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
-
C.
Rovigo
Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
-
D.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
E.
Rimini
Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2a938081909ccd9fe7c5021dc6 |
completed | May 9, 2026, 3 p.m. |
Created at: April 10, 2026, 1:24 a.m.