Triple
T10854785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Goa district |
E256242
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Parra
Parra is a village in North Goa, India, known for its scenic coconut-lined roads and traditional Goan charm.
|
E889863
|
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: Parra | Statement: [North Goa district, containsVillage, Parra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parra Context triple: [North Goa district, containsVillage, Parra]
-
A.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
B.
Sete Rios
Sete Rios is a major transport hub and neighborhood in Lisbon, Portugal, known for its bus and train connections and proximity to the city zoo.
-
C.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
D.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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: Parra Triple: [North Goa district, containsVillage, Parra]
Generated description
Parra is a village in North Goa, India, known for its scenic coconut-lined roads and traditional Goan charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parra Target entity description: Parra is a village in North Goa, India, known for its scenic coconut-lined roads and traditional Goan charm.
-
A.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
B.
Sete Rios
Sete Rios is a major transport hub and neighborhood in Lisbon, Portugal, known for its bus and train connections and proximity to the city zoo.
-
C.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
D.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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.