Triple

T798645
Position Surface form Disambiguated ID Type / Status
Subject São Tomé and Príncipe E17077 entity
Predicate ISO3166-1Alpha2Code P189 FINISHED
Object ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
 E94966 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: ST | Statement: [São Tomé and Príncipe, ISO3166-1Alpha2Code, ST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ST
Context triple: [São Tomé and Príncipe, ISO3166-1Alpha2Code, ST]
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • C. STM
    STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
  • D. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • E. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • 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: ST
Triple: [São Tomé and Príncipe, ISO3166-1Alpha2Code, ST]
Generated description
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ST
Target entity description: ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • C. STM
    STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
  • D. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • E. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67f01cca881908c1d230048be1225 completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a6800b410881909d95ab4c3612b501 completed March 3, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69a680bae34481909255d07f325d97d4 completed March 3, 2026, 6:33 a.m.
Created at: March 1, 2026, 7:38 p.m.