Triple
T13504879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adamo Boari |
E320989
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boari |
E320989
|
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: Boari | Statement: [Adamo Boari, familyName, Boari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boari Context triple: [Adamo Boari, familyName, Boari]
-
A.
Boari
chosen
Boari is an Italian surname most notably associated with Adamo Boari, an architect known for designing prominent buildings in Mexico such as the Palacio de Bellas Artes.
-
B.
Byari
Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
-
C.
Barooga
Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
-
D.
Buariki
Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
-
E.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.