Triple

T3512155
Position Surface form Disambiguated ID Type / Status
Subject Nadiad E74220 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object GJ-07
GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
 E365447 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-07 | Statement: [Nadiad, hasVehicleRegistrationCode, GJ-07]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GJ-07
Context triple: [Nadiad, hasVehicleRegistrationCode, GJ-07]
  • A. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • B. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • C. 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.
  • 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. J200
    J200 is the internal chassis code designating the third-generation Lexus LX full-size luxury SUV.
  • 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-07
Triple: [Nadiad, hasVehicleRegistrationCode, GJ-07]
Generated description
GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GJ-07
Target entity description: GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • A. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • B. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • C. 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.
  • 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. J200
    J200 is the internal chassis code designating the third-generation Lexus LX full-size luxury SUV.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc10b6b48190bedfed6d34afc425 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7366e4819099b4a411343bdd90 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37fd93cac8190915d55b9c37abad5 completed March 13, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3802e69488190926b6aa6e9d1d693 completed March 13, 2026, 3:10 a.m.
Created at: March 8, 2026, 3:19 p.m.