Triple
T10854753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Goa district |
E256242
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Baga |
E886373
|
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: Baga | Statement: [North Goa district, containsVillage, Baga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baga Context triple: [North Goa district, containsVillage, Baga]
-
A.
Baga
The Baga are an ethnic group of coastal Guinea in West Africa, known for their rich artistic traditions, especially wooden masks and sculptures used in ritual ceremonies.
-
B.
Baga
chosen
Baga is a popular coastal town in North Goa, India, best known for its lively beach, nightlife, and tourism.
-
C.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
D.
Baguia
Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
-
E.
Sidama
Sidama is an ethnic group primarily inhabiting the Sidama Region of southern Ethiopia, known for its distinct Cushitic language and coffee-growing culture.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751351a0c8190b38c14888c5e4275 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb18a48248190999f95abc979fa74 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.