Triple

T1474429
Position Surface form Disambiguated ID Type / Status
Subject Jalisco E30805 entity
Predicate containsRegion P285 FINISHED
Object Costa Sur
Costa Sur is a coastal region in the Mexican state of Jalisco known for its Pacific beaches, fishing villages, and tourism.
E194495 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: Costa Sur | Statement: [Jalisco, containsRegion, Costa Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Costa Sur
Context triple: [Jalisco, containsRegion, Costa Sur]
  • A. Ofra-Costa Sur
    Ofra-Costa Sur is a district of Santa Cruz de Tenerife on the island of Tenerife in Spain’s Canary Islands.
  • B. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • C. Costa Norte
    Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
  • D. Roca Sur
    Roca Sur is a small, remote rocky islet that forms part of Chile’s isolated Desventuradas Islands in the southeastern Pacific Ocean.
  • E. Şile
    Şile is a coastal district on the Black Sea known for its beaches, lighthouse, and traditional Şile cloth, located on the Asian side of Istanbul, Turkey.
  • 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: Costa Sur
Triple: [Jalisco, containsRegion, Costa Sur]
Generated description
Costa Sur is a coastal region in the Mexican state of Jalisco known for its Pacific beaches, fishing villages, and tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Costa Sur
Target entity description: Costa Sur is a coastal region in the Mexican state of Jalisco known for its Pacific beaches, fishing villages, and tourism.
  • A. Ofra-Costa Sur
    Ofra-Costa Sur is a district of Santa Cruz de Tenerife on the island of Tenerife in Spain’s Canary Islands.
  • B. Costa
    Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
  • C. Costa Norte
    Costa Norte is a coastal region in the Mexican state of Jalisco known for its Pacific beaches and tourist destinations.
  • D. Roca Sur
    Roca Sur is a small, remote rocky islet that forms part of Chile’s isolated Desventuradas Islands in the southeastern Pacific Ocean.
  • E. Şile
    Şile is a coastal district on the Black Sea known for its beaches, lighthouse, and traditional Şile cloth, located on the Asian side of Istanbul, Turkey.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aad1a30819086df8e4ef3752263 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad979b7f2c819094c907bed705db3b completed March 8, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69ad9831a87c819089fc3b590ab7ecb2 completed March 8, 2026, 3:39 p.m.
Created at: March 1, 2026, 8:11 p.m.