Triple
T4166817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etruscan art |
E84465
|
entity |
| Predicate | centerOfProduction |
P32531
|
FINISHED |
| Object | Cerveteri |
E93579
|
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: Cerveteri | Statement: [Etruscan art, centerOfProduction, Cerveteri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerveteri Context triple: [Etruscan art, centerOfProduction, Cerveteri]
-
A.
Cerveteri
chosen
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
-
B.
Grottaferrata
Grottaferrata is a historic monastic town in Italy known for its Byzantine-rite abbey and its central role in the Italo-Albanian Catholic tradition.
-
C.
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
-
D.
Orvieto
Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
-
E.
Tarquinia
Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c43a7481909eed7cb8c14deb0c |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59611f8548190a47638bcd95e1541 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:44 p.m.