Triple

T12798615
Position Surface form Disambiguated ID Type / Status
Subject Požarevac E305952 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PO
PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
E1002854 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: PO | Statement: [Požarevac, vehicleRegistrationCode, PO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PO
Context triple: [Požarevac, vehicleRegistrationCode, PO]
  • A. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • B. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • C. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • D. Po
    Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
  • E. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • 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: PO
Triple: [Požarevac, vehicleRegistrationCode, PO]
Generated description
PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PO
Target entity description: PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • A. PO
    PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • B. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • C. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • D. Po
    Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
  • E. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6f858c8190915ede38e9a6a2df completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850f9ae4819094599b48d8d3a074 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f685dd1a88819096e40711f10d898a completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68884ed348190a1b2c89b1d655fa9 completed May 2, 2026, 11:28 p.m.
Created at: April 9, 2026, 5:30 p.m.