Triple

T9269003
Position Surface form Disambiguated ID Type / Status
Subject Ngizim E222773 entity
Predicate iso639-3Code P208 FINISHED
Object ngi
ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
E788771 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: ngi | Statement: [Ngizim, iso639-3Code, ngi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ngi
Context triple: [Ngizim, iso639-3Code, ngi]
  • A. .ng
    .ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
  • B. NGI
    NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
  • C. NGI
    NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
  • D. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • E. NI
    NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
  • 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: ngi
Triple: [Ngizim, iso639-3Code, ngi]
Generated description
ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ngi
Target entity description: ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
  • A. .ng
    .ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
  • B. NGI
    NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
  • C. NGI
    NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
  • D. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • E. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:33 p.m.