Triple

T5897249
Position Surface form Disambiguated ID Type / Status
Subject Trinidad E131129 entity
Predicate hasTown P847 FINISHED
Object Sangre Grande
Sangre Grande is a major town in northeastern Trinidad known as a regional commercial and transportation hub.
E554330 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: Sangre Grande | Statement: [Trinidad, hasTown, Sangre Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangre Grande
Context triple: [Trinidad, hasTown, Sangre Grande]
  • A. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • B. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • C. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • D. Ribeira Grande
    Ribeira Grande is a coastal town and municipality on the island of Santo Antão in Cape Verde, known for its dramatic mountainous landscapes and traditional Cape Verdean culture.
  • E. Conceição
    Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • 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: Sangre Grande
Triple: [Trinidad, hasTown, Sangre Grande]
Generated description
Sangre Grande is a major town in northeastern Trinidad known as a regional commercial and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sangre Grande
Target entity description: Sangre Grande is a major town in northeastern Trinidad known as a regional commercial and transportation hub.
  • A. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • B. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • C. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • D. Ribeira Grande
    Ribeira Grande is a coastal town and municipality on the island of Santo Antão in Cape Verde, known for its dramatic mountainous landscapes and traditional Cape Verdean culture.
  • E. Conceição
    Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f65c1c819084cb90662af6e114 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b159cb908190b78b78d1e854212b completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b22d661c8190a055abd3ca6fa92f completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b608a10881908c9bca7d09a99b05 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:58 p.m.