Triple
T17137066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria di Castello (Tarquinia) |
E415865
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tarquinia |
E92615
|
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: Tarquinia | Statement: [Santa Maria di Castello (Tarquinia), locatedIn, Tarquinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarquinia Context triple: [Santa Maria di Castello (Tarquinia), locatedIn, Tarquinia]
-
A.
Tarquinia
chosen
Tarquinia is an ancient Etruscan city in central Italy renowned for its richly painted tombs and significant archaeological remains.
-
B.
Cerveteri
Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
-
C.
Sontra
Sontra is a small town in the Werra-Meißner district of northeastern Hesse, Germany, known for its rural setting and proximity to the Richelsdorf Hills.
-
D.
Gibellina
Gibellina is a Sicilian town renowned for its post-earthquake reconstruction as an open-air museum of contemporary art and avant-garde urban design.
-
E.
Pescia Romana
Pescia Romana is a coastal village in the Lazio region of central Italy, known for its agricultural production and beaches along the Tyrrhenian Sea.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d0628081908e0160290041fe89 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c36b32c8190a365b7b80207978c |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:36 a.m.