Triple

T9553849
Position Surface form Disambiguated ID Type / Status
Subject South Coast of Peru E230490 entity
Predicate hasPort P35 FINISHED
Object Ilo
Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
 E807364 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: Ilo | Statement: [South Coast of Peru, hasPort, Ilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilo
Context triple: [South Coast of Peru, hasPort, Ilo]
  • A. Ilo
    Ilo is a given name associated with the individual Ilo Browne Wallace.
  • B. Warihío
    Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
  • C. Namuana
    Namuana is a coastal Fijian village on the island of Kadavu, known in local legend for its connection to turtle-calling traditions.
  • D. Río
    Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
  • E. Iba
    Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
  • 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: Ilo
Triple: [South Coast of Peru, hasPort, Ilo]
Generated description
Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilo
Target entity description: Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
  • A. Ilo
    Ilo is a given name associated with the individual Ilo Browne Wallace.
  • B. Warihío
    Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
  • C. Namuana
    Namuana is a coastal Fijian village on the island of Kadavu, known in local legend for its connection to turtle-calling traditions.
  • D. Río
    Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
  • E. Iba
    Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99217de48190b528e14fd02ee987 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d156a5b65c8190a7c7616b6df6c181 completed April 4, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69d15740036c8190ada8ccf59c1436d9 completed April 4, 2026, 6:24 p.m.
Created at: March 30, 2026, 8:02 p.m.