Triple

T1477264
Position Surface form Disambiguated ID Type / Status
Subject Dadra and Nagar Haveli and Daman and Diu E30869 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DD
DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
 E169635 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: DD | Statement: [Dadra and Nagar Haveli and Daman and Diu, vehicleRegistrationCode, DD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DD
Context triple: [Dadra and Nagar Haveli and Daman and Diu, vehicleRegistrationCode, DD]
  • A. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • B. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • C. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • D. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • E. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • 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: DD
Triple: [Dadra and Nagar Haveli and Daman and Diu, vehicleRegistrationCode, DD]
Generated description
DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DD
Target entity description: DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • A. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • B. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • C. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • D. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • E. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15add78c8190843efd75bbe8423f completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad184626f48190a15ee8bb4f9f6f7c completed March 8, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69ad18dca6b48190a63b67a7823611c8 completed March 8, 2026, 6:36 a.m.
Created at: March 1, 2026, 8:11 p.m.