Triple

T5171686
Position Surface form Disambiguated ID Type / Status
Subject Gandhinagar E116694 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ-18
GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
E499863 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-18 | Statement: [Gandhinagar, vehicleRegistrationCode, GJ-18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GJ-18
Context triple: [Gandhinagar, vehicleRegistrationCode, GJ-18]
  • A. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • B. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • C. JG 51
    JG 51 was a Luftwaffe fighter wing of Nazi Germany during World War II, noted for its extensive operations on the Eastern Front.
  • D. J80
    J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
  • E. 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.
  • 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-18
Triple: [Gandhinagar, vehicleRegistrationCode, GJ-18]
Generated description
GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GJ-18
Target entity description: GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • A. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • B. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • C. JG 51
    JG 51 was a Luftwaffe fighter wing of Nazi Germany during World War II, noted for its extensive operations on the Eastern Front.
  • D. J80
    J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
  • E. 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.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79508610819087abec175da8c847 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9439ec881909021973aa5395e4f completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda6e82888190b54b814a16582e48 completed March 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_69bedaf860b0819086805fc9630a74d0 completed March 21, 2026, 5:52 p.m.
Created at: March 20, 2026, 1:45 p.m.