Triple

T9282675
Position Surface form Disambiguated ID Type / Status
Subject San-Pédro E223105 entity
Predicate countryCode P208 FINISHED
Object CI
CI is the ISO 3166-1 alpha-2 country code for Côte d'Ivoire (Ivory Coast), a West African nation on the Gulf of Guinea.
 E789531 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: CI | Statement: [San-Pédro, countryCode, CI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CI
Context triple: [San-Pédro, countryCode, CI]
  • A. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • B. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • C. CI
    CI is the common abbreviation for the Coppa Italia, Italy’s premier national football cup competition.
  • D. CI
    CI is the station code used to identify Central Islip station on the Long Island Rail Road.
  • E. IC
    IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
  • 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: CI
Triple: [San-Pédro, countryCode, CI]
Generated description
CI is the ISO 3166-1 alpha-2 country code for Côte d'Ivoire (Ivory Coast), a West African nation on the Gulf of Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CI
Target entity description: CI is the ISO 3166-1 alpha-2 country code for Côte d'Ivoire (Ivory Coast), a West African nation on the Gulf of Guinea.
  • A. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • B. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • C. CI
    CI is the common abbreviation for the Coppa Italia, Italy’s premier national football cup competition.
  • D. CI
    CI is the station code used to identify Central Islip station on the Long Island Rail Road.
  • E. IC
    IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081d60a88190b49b040d0e7415bf completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2134d408190b21c7dc642549fe4 completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b301659481909c1865884421fcde completed April 4, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69d0b38ae1ec8190b36019d3a642290d completed April 4, 2026, 6:45 a.m.
Created at: March 30, 2026, 7:34 p.m.