Triple
T10854777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Goa district |
E256242
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Betim
Betim is a riverside village and ferry point in North Goa, India, located across the Mandovi River from Panaji and known for its transport links and scenic waterfront.
|
E889856
|
NE FINISHED |
How this triple was built (4 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: Betim | Statement: [North Goa district, containsVillage, Betim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betim Context triple: [North Goa district, containsVillage, Betim]
-
A.
Betim
Betim is an industrial city in southeastern Brazil known for its major automotive and petrochemical complexes.
-
B.
Uberaba
Uberaba is a mid-sized Brazilian city in the western part of Minas Gerais state, known for its strong agribusiness sector and cattle breeding traditions.
-
C.
Itanhaém
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
D.
Duas Barras
Duas Barras is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
-
E.
Itapetininga
Itapetininga is a municipality in southeastern Brazil known for its agricultural activities and regional commercial importance within the state of São Paulo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Betim Triple: [North Goa district, containsVillage, Betim]
Generated description
Betim is a riverside village and ferry point in North Goa, India, located across the Mandovi River from Panaji and known for its transport links and scenic waterfront.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betim Target entity description: Betim is a riverside village and ferry point in North Goa, India, located across the Mandovi River from Panaji and known for its transport links and scenic waterfront.
-
A.
Betim
Betim is an industrial city in southeastern Brazil known for its major automotive and petrochemical complexes.
-
B.
Uberaba
Uberaba is a mid-sized Brazilian city in the western part of Minas Gerais state, known for its strong agribusiness sector and cattle breeding traditions.
-
C.
Itanhaém
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
D.
Duas Barras
Duas Barras is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
-
E.
Itapetininga
Itapetininga is a municipality in southeastern Brazil known for its agricultural activities and regional commercial importance within the state of São Paulo.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69ded06ea3c08190a9a9fc5fde2fd62d |
completed | April 14, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ded43b8ca48190b49f6edf2f46870f |
completed | April 14, 2026, 11:56 p.m. |
Created at: April 8, 2026, 9:20 p.m.