Triple

T1089661
Position Surface form Disambiguated ID Type / Status
Subject Rajkot E24131 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ-3
GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
 E123587 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: GJ-3 | Statement: [Rajkot, vehicleRegistrationCode, GJ-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GJ-3
Context triple: [Rajkot, vehicleRegistrationCode, GJ-3]
  • A. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • B. JG 26
    JG 26 was a prominent Luftwaffe fighter wing of Nazi Germany during World War II, noted for its experienced pilots and extensive combat on the Western Front.
  • C. G3-b
    G3-b is one of the small satellite pyramids associated with the Pyramid of Menkaure at the Giza pyramid complex in Egypt.
  • D. Mark-3
    Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
  • E. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • 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: GJ-3
Triple: [Rajkot, vehicleRegistrationCode, GJ-3]
Generated description
GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GJ-3
Target entity description: GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • A. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • B. JG 26
    JG 26 was a prominent Luftwaffe fighter wing of Nazi Germany during World War II, noted for its experienced pilots and extensive combat on the Western Front.
  • C. G3-b
    G3-b is one of the small satellite pyramids associated with the Pyramid of Menkaure at the Giza pyramid complex in Egypt.
  • D. Mark-3
    Mark-3 is the third-generation Jaeger class to which the iconic mech Gipsy Danger belongs in the Pacific Rim universe.
  • E. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b41618819087884c292db4ed55 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4336328481908aba0260c6504a1a completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b578d48190af1478c9f6c8f712 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.