Triple

T1434728
Position Surface form Disambiguated ID Type / Status
Subject Greater Anglia E30534 entity
Predicate shortName P43 FINISHED
Object GA
GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
 E163486 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: GA | Statement: [Greater Anglia, shortName, GA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GA
Context triple: [Greater Anglia, shortName, GA]
  • A. GA
    GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
  • B. GA
    GA is the official two-letter United States Postal Service abbreviation for the state of Georgia.
  • C. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: GA
Triple: [Greater Anglia, shortName, GA]
Generated description
GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GA
Target entity description: GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
  • A. GA
    GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
  • B. GA
    GA is the official two-letter United States Postal Service abbreviation for the state of Georgia.
  • C. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c500a9888190a16fbb1ec97a79c9 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0259651c8190890e45c1786a9a50 completed March 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69ad03018aa4819090020ba89a11d0cd completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.