Triple

T13152659
Position Surface form Disambiguated ID Type / Status
Subject Gjirokastër County E312503 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GJ
GJ is the vehicle registration code used on license plates for vehicles registered in Gjirokastër County, Albania.
E1025340 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 | Statement: [Gjirokastër County, vehicleRegistrationCode, GJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GJ
Context triple: [Gjirokastër County, vehicleRegistrationCode, GJ]
  • A. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GDJ
    GDJ is the FAA location identifier for Granbury Regional Airport in Granbury, Texas.
  • D. IN-GJ
    IN-GJ is the ISO 3166-2 code representing the Indian state of Gujarat.
  • E. JG 1
    JG 1 was a Luftwaffe fighter wing of Nazi Germany during World War II, known for its air defense and combat operations over Europe.
  • 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
Triple: [Gjirokastër County, vehicleRegistrationCode, GJ]
Generated description
GJ is the vehicle registration code used on license plates for vehicles registered in Gjirokastër County, Albania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GJ
Target entity description: GJ is the vehicle registration code used on license plates for vehicles registered in Gjirokastër County, Albania.
  • A. GRJ
    GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GDJ
    GDJ is the FAA location identifier for Granbury Regional Airport in Granbury, Texas.
  • D. IN-GJ
    IN-GJ is the ISO 3166-2 code representing the Indian state of Gujarat.
  • E. JG 1
    JG 1 was a Luftwaffe fighter wing of Nazi Germany during World War II, known for its air defense and combat operations over Europe.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f17376c88190b08a4f2f5967b57c completed May 3, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_69f6f1e5bc888190a0a82f45922de104 completed May 3, 2026, 6:57 a.m.
Created at: April 9, 2026, 9:11 p.m.