Triple

T1345968
Position Surface form Disambiguated ID Type / Status
Subject Sinaloa E28571 entity
Predicate hasMunicipalities P747 FINISHED
Object Angostura
Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
E154598 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: Angostura | Statement: [Sinaloa, hasMunicipalities, Angostura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angostura
Context triple: [Sinaloa, hasMunicipalities, Angostura]
  • A. Segunda Angostura
    Segunda Angostura is a narrow channel within the Strait of Magellan in southern Chile, known for its constricted waters and challenging navigation conditions.
  • B. Angostura bitters
    Angostura bitters is a concentrated aromatic bitters made from herbs and spices, widely used in classic cocktails and as a flavoring in beverages and food.
  • C. Calimete
    Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
  • D. de Sucre
    De Sucre is the surname of Antonio José de Sucre, a prominent Venezuelan independence leader and close ally of Simón Bolívar.
  • E. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • 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: Angostura
Triple: [Sinaloa, hasMunicipalities, Angostura]
Generated description
Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angostura
Target entity description: Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
  • A. Segunda Angostura
    Segunda Angostura is a narrow channel within the Strait of Magellan in southern Chile, known for its constricted waters and challenging navigation conditions.
  • B. Angostura bitters
    Angostura bitters is a concentrated aromatic bitters made from herbs and spices, widely used in classic cocktails and as a flavoring in beverages and food.
  • C. Calimete
    Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
  • D. de Sucre
    De Sucre is the surname of Antonio José de Sucre, a prominent Venezuelan independence leader and close ally of Simón Bolívar.
  • E. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6351cbc81909e2ffc692ee92b54 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6af0db88190a02936072783553e completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc7246f94819095b6a6868e06a7bf completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.