Triple

T5362348
Position Surface form Disambiguated ID Type / Status
Subject Porbandar E103049 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ-25
GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
 E514678 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-25 | Statement: [Porbandar, vehicleRegistrationCode, GJ-25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GJ-25
Context triple: [Porbandar, vehicleRegistrationCode, GJ-25]
  • A. GJ-18
    GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • B. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • C. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • D. 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.
  • E. 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.
  • 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-25
Triple: [Porbandar, vehicleRegistrationCode, GJ-25]
Generated description
GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GJ-25
Target entity description: GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • A. GJ-18
    GJ-18 is the regional vehicle registration code assigned to motor vehicles registered in Gandhinagar, the capital city of Gujarat, India.
  • B. GJ-3
    GJ-3 is the regional vehicle registration code assigned to the city of Rajkot in the Indian state of Gujarat.
  • C. GJ-07
    GJ-07 is the vehicle registration code assigned to the city of Nadiad in the Indian state of Gujarat.
  • D. 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.
  • E. 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.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865a0bb081909579cfe7c7974075 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ef7acc8190aa7ff990a04ff09c completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25467ad481909a24fb4cb2953af6 completed March 21, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf25c28ad48190ad7f0e5cd9487a08 completed March 21, 2026, 11:12 p.m.
Created at: March 20, 2026, 2:02 p.m.