Triple
T9273654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabine people |
E222890
|
entity |
| Predicate | majorSettlement |
P316
|
FINISHED |
| Object | Nursia |
E153339
|
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: Nursia | Statement: [Sabine people, majorSettlement, Nursia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nursia Context triple: [Sabine people, majorSettlement, Nursia]
-
A.
Nursia
chosen
Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
-
B.
Raeti
The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
-
C.
Albia
Albia is a small city in Monroe County, Iowa, serving as a local hub for the surrounding rural area in the south-central part of the state.
-
D.
Carrù
Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
-
E.
Senigallia
Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0788e87c81909ccda40d94cc6705 |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c355e7c819083a0101c763abd98 |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:33 p.m.