Triple

T237013
Position Surface form Disambiguated ID Type / Status
Subject Assam E4843 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AS
AS is the official vehicle registration code assigned to the Indian state of Assam.
 E30594 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: AS | Statement: [Assam, vehicleRegistrationCode, AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AS
Context triple: [Assam, vehicleRegistrationCode, AS]
  • A. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • B. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • C. Ap
    Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
  • D. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • E. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • 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: AS
Triple: [Assam, vehicleRegistrationCode, AS]
Generated description
AS is the official vehicle registration code assigned to the Indian state of Assam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AS
Target entity description: AS is the official vehicle registration code assigned to the Indian state of Assam.
  • A. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • B. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • C. Ap
    Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
  • D. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • E. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccc5d548190b505bf1d99db41bd completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3673474548190aea1f43318d15a71 completed Feb. 28, 2026, 10:07 p.m.
NEDg Description generation batch_69a367bc6cb48190b5bc588db0833474 completed Feb. 28, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69a3681d99a881908ea8d2632ba2aab1 completed Feb. 28, 2026, 10:11 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.