Triple
T4527221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logudoro |
E106207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Badesi |
E423867
|
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: Badesi | Statement: [Logudoro, contains, Badesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badesi Context triple: [Logudoro, contains, Badesi]
-
A.
Badesi
chosen
Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
-
B.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
C.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
D.
Soyarabai
Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
-
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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4577d0c8190a88cdf4523446329 |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:03 p.m.