Triple

T11459293
Position Surface form Disambiguated ID Type / Status
Subject El Oro Province E271610 entity
Predicate hasISO3166-2Code P208 FINISHED
Object EC-O
EC-O is the ISO 3166-2 subdivision code that uniquely identifies El Oro Province in Ecuador.
 E926805 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: EC-O | Statement: [El Oro Province, hasISO3166-2Code, EC-O]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EC-O
Context triple: [El Oro Province, hasISO3166-2Code, EC-O]
  • A. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • B. OEC
    OEC is the standard legal abbreviation for the Oregon Evidence Code, which governs the rules of evidence in Oregon courts.
  • C. ECOA
    ECOA is a U.S. federal law that prohibits discrimination in credit transactions based on characteristics such as race, sex, marital status, religion, national origin, age, or receipt of public assistance.
  • D. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • E. OEO
    OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
  • 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: EC-O
Triple: [El Oro Province, hasISO3166-2Code, EC-O]
Generated description
EC-O is the ISO 3166-2 subdivision code that uniquely identifies El Oro Province in Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EC-O
Target entity description: EC-O is the ISO 3166-2 subdivision code that uniquely identifies El Oro Province in Ecuador.
  • A. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • B. OEC
    OEC is the standard legal abbreviation for the Oregon Evidence Code, which governs the rules of evidence in Oregon courts.
  • C. ECOA
    ECOA is a U.S. federal law that prohibits discrimination in credit transactions based on characteristics such as race, sex, marital status, religion, national origin, age, or receipt of public assistance.
  • D. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • E. OEO
    OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f2138081909408c7916cef99c9 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e911c03c819081f1447b320dd2f2 completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5eeb38d588190b51b6c299bb717dd completed April 20, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e5f19dd3348190b037e09c87b528e9 completed April 20, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:35 p.m.