Triple

T13182658
Position Surface form Disambiguated ID Type / Status
Subject Istria County E313766 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PU
PU is the vehicle registration code used on license plates for vehicles registered in Istria County, Croatia.
E1026923 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: PU | Statement: [Istria County, vehicleRegistrationCode, PU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PU
Context triple: [Istria County, vehicleRegistrationCode, PU]
  • A. PU
    PU is the station code used to identify Pureza station in transportation and transit systems.
  • B. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • C. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • D. PU
    PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
  • E. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • 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: PU
Triple: [Istria County, vehicleRegistrationCode, PU]
Generated description
PU is the vehicle registration code used on license plates for vehicles registered in Istria County, Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PU
Target entity description: PU is the vehicle registration code used on license plates for vehicles registered in Istria County, Croatia.
  • A. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • B. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • C. PU
    PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
  • D. PU
    PU is the station code used to identify Pureza station in transportation and transit systems.
  • E. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f707d9e48190b772520ca9f4ac2c completed May 3, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6f85149cc8190adf68387475d3286 completed May 3, 2026, 7:25 a.m.
Created at: April 9, 2026, 9:15 p.m.