Triple
T4285864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clusium |
E97266
|
entity |
| Predicate | ancientNameInLatin |
P20952
|
FINISHED |
| Object | Clusium |
E97266
|
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: Clusium | Statement: [Clusium, ancientNameInLatin, Clusium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clusium Context triple: [Clusium, ancientNameInLatin, Clusium]
-
A.
Clusium
chosen
Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
-
B.
Selasca
Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
-
C.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
-
D.
Tarquinii
Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
-
E.
Alba Longa
Alba Longa was an ancient Latin city in central Italy, traditionally regarded as the mother city of Rome and the seat of the Alban kings.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.