Triple
T17132608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuraghe Santu Antine |
E415758
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Torralba |
E449792
|
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: Torralba | Statement: [Nuraghe Santu Antine, locatedIn, Torralba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torralba Context triple: [Nuraghe Santu Antine, locatedIn, Torralba]
-
A.
Torralba
chosen
Torralba is a small town in the Logudoro region of northern Sardinia, Italy, known for its Nuragic archaeological sites and rural landscape.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Torrecuso
Torrecuso is a small Italian municipality in the Campania region, known for its hillside location and local wine production.
-
D.
Tuscadero
Tuscadero is an American indie rock band known for its catchy, fuzz-pop sound and association with the 1990s D.C. underground music scene.
-
E.
Moncalvo
Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
- 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_69e3f02ba4cc8190b6f433e08e958d83 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414eca3c8190aeec22fab3b5e767 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.