Triple
T16600577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabellic |
E403318
|
entity |
| Predicate | geographicContext |
P3227
|
FINISHED |
| Object | Samnium |
E43127
|
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: Samnium | Statement: [Sabellic, geographicContext, Samnium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samnium Context triple: [Sabellic, geographicContext, Samnium]
-
A.
Samnium
chosen
Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
-
B.
Tauresium
Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
C.
Stannus
Stannus is the family name of Dame Ninette de Valois, the influential Irish-born British dancer, choreographer, and founder of The Royal Ballet.
-
D.
Ormenium
Ormenium was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
-
E.
Regulbium
Regulbium was the Roman-era coastal fort and settlement that later became known as Reculver in Kent, England.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d75772c8190b02aef02ea6788e1 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.