Triple

T14876071
Position Surface form Disambiguated ID Type / Status
Subject Khairatabad E349869 entity
Predicate previousVehicleRegistrationCode P103673 FINISHED
Object AP
AP is the former vehicle registration code for the Indian state of Andhra Pradesh.
E1126008 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: AP | Statement: [Khairatabad, previousVehicleRegistrationCode, AP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AP
Context triple: [Khairatabad, previousVehicleRegistrationCode, AP]
  • A. AP
    AP is a U.S.-based college-level program and exam system for high school students that can earn them advanced placement or credit at many universities.
  • B. AP
    AP is the standard abbreviation for the Pacific Alliance, a Latin American trade bloc focused on economic integration and free movement of goods, services, capital, and people among its member countries.
  • C. AP
    AP is the vehicle registration code used on license plates for vehicles registered in the Argolis regional unit of Greece.
  • D. AP
    AP is the official two-letter postal abbreviation for the Brazilian state of Amapá.
  • E. AP
    AP is the Associated Press, a major American news agency known for its global news coverage and influential journalism awards.
  • 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: AP
Triple: [Khairatabad, previousVehicleRegistrationCode, AP]
Generated description
AP is the former vehicle registration code for the Indian state of Andhra Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AP
Target entity description: AP is the former vehicle registration code for the Indian state of Andhra Pradesh.
  • A. AP
    AP is the official vehicle registration code for the Indian state of Andhra Pradesh.
  • B. AP
    AP is the vehicle registration code used on license plates for vehicles registered in the Argolis regional unit of Greece.
  • C. AP
    AP is the official two-letter postal abbreviation for the Brazilian state of Amapá.
  • D. AP
    AP is the standard abbreviation for the Pacific Alliance, a Latin American trade bloc focused on economic integration and free movement of goods, services, capital, and people among its member countries.
  • E. AP
    AP is the station code for Antipolo station on Manila’s LRT Line 2 in the Philippines.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6bf09424819095fa5b2e20e8d07d completed May 8, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69fe6c6ebe4881909334d772e45403f6 completed May 8, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:55 a.m.