Triple
T1471183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etruscans |
E27137
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Chiusi |
E84464
|
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: Chiusi | Statement: [Etruscans, majorCity, Chiusi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiusi Context triple: [Etruscans, majorCity, Chiusi]
-
A.
Chiusi
chosen
Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
-
B.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
C.
Cliffside
Cliffside is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its proximity to the Scarborough Bluffs along Lake Ontario.
-
D.
Chiascio
Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
-
E.
Bad Chopper
Bad Chopper is a punk rock band fronted by former Ramones bassist C.J. Ramone, known for carrying forward the classic punk sound.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a74fbc8190b53511713032dc63 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:01 p.m.