Triple

T3492174
Position Surface form Disambiguated ID Type / Status
Subject GS E73757 entity
Predicate hasAlpha3CompanionCode P8719 FINISHED
Object SGS
SGS is the three-letter ISO 3166-1 alpha-3 country code corresponding to South Georgia and the South Sandwich Islands.
 E363748 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: SGS | Statement: [GS, hasAlpha3CompanionCode, SGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGS
Context triple: [GS, hasAlpha3CompanionCode, SGS]
  • A. SAS Group
    SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
  • B. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • C. Gage Group
    Gage Group is a historic ensemble of late 19th-century commercial buildings in downtown Chicago, noted for their early skyscraper architecture and association with prominent architects of the Chicago School.
  • D. GSB
    GSB is Stanford University's renowned graduate business school, offering MBA and other advanced management programs and known for its innovation, entrepreneurship focus, and global impact.
  • E. GESAP S.p.A.
    GESAP S.p.A. is the company responsible for managing and operating Palermo’s main international airport in Sicily, Italy.
  • 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: SGS
Triple: [GS, hasAlpha3CompanionCode, SGS]
Generated description
SGS is the three-letter ISO 3166-1 alpha-3 country code corresponding to South Georgia and the South Sandwich Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGS
Target entity description: SGS is the three-letter ISO 3166-1 alpha-3 country code corresponding to South Georgia and the South Sandwich Islands.
  • A. SAS Group
    SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
  • B. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • C. Gage Group
    Gage Group is a historic ensemble of late 19th-century commercial buildings in downtown Chicago, noted for their early skyscraper architecture and association with prominent architects of the Chicago School.
  • D. GSB
    GSB is Stanford University's renowned graduate business school, offering MBA and other advanced management programs and known for its innovation, entrepreneurship focus, and global impact.
  • E. GESAP S.p.A.
    GESAP S.p.A. is the company responsible for managing and operating Palermo’s main international airport in Sicily, Italy.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbabd1708190b1ca4cbc87462b5b completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c23b188190a927d793b03192dc completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b377a690348190a765b021bbbc820c completed March 13, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b3781aaab48190a497a0929966ec12 completed March 13, 2026, 2:36 a.m.
Created at: March 8, 2026, 3:18 p.m.