Triple
T16914612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etruscan League |
E410289
|
entity |
| Predicate | member |
P10
|
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: [Etruscan League, member, Clusium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clusium Context triple: [Etruscan League, member, 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.
Argiletum
Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
-
D.
Asculum
Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
-
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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd0ff2881908686678daab46664 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.