Triple

T10573454
Position Surface form Disambiguated ID Type / Status
Subject Ixtapa-Zihuatanejo E249550 entity
Predicate plannedBy P184 FINISHED
Object FONATUR
FONATUR is Mexico’s national tourism development agency responsible for planning and developing major resort destinations across the country.
 E871642 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: FONATUR | Statement: [Ixtapa-Zihuatanejo, plannedBy, FONATUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FONATUR
Context triple: [Ixtapa-Zihuatanejo, plannedBy, FONATUR]
  • A. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • B. Fonni
    Fonni is a mountain town in central Sardinia, Italy, known as one of the island’s highest and coldest settlements and a base for exploring the Gennargentu massif.
  • C. Fonyód
    Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
  • D. Fortunella
    Fortunella is a small genus of citrus-like fruit-bearing plants best known for kumquats, which produce small, edible, sweet-skinned fruits.
  • E. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • 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: FONATUR
Triple: [Ixtapa-Zihuatanejo, plannedBy, FONATUR]
Generated description
FONATUR is Mexico’s national tourism development agency responsible for planning and developing major resort destinations across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FONATUR
Target entity description: FONATUR is Mexico’s national tourism development agency responsible for planning and developing major resort destinations across the country.
  • A. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • B. Fonni
    Fonni is a mountain town in central Sardinia, Italy, known as one of the island’s highest and coldest settlements and a base for exploring the Gennargentu massif.
  • C. Fonyód
    Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
  • D. Fortunella
    Fortunella is a small genus of citrus-like fruit-bearing plants best known for kumquats, which produce small, edible, sweet-skinned fruits.
  • E. FUNO
    FUNO is the stock ticker symbol for Fibra Uno, one of Mexico’s largest real estate investment trusts (REITs) focused on commercial properties.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b5d89748190bb398943e4a16e9b completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e1502108190a81bfa1d5a425e5a completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d94f0bb6888190b4038df6dcd96d33 completed April 10, 2026, 7:27 p.m.
Created at: April 6, 2026, 12:37 p.m.