Triple

T559275
Position Surface form Disambiguated ID Type / Status
Subject Mozambique E13411 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
 E70627 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: MZ | Statement: [Mozambique, ISO3166-1Alpha2, MZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MZ
Context triple: [Mozambique, ISO3166-1Alpha2, MZ]
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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: MZ
Triple: [Mozambique, ISO3166-1Alpha2, MZ]
Generated description
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MZ
Target entity description: MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • C. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499df43f08190b514a38d36fc271d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed34f5b4819095eb95b428b53991 completed March 2, 2026, 1:51 a.m.
NEDg Description generation batch_69a4edc267748190b48969d55e70191a completed March 2, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_69a4ee2ac3288190ab93af9a254cb544 completed March 2, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:32 p.m.