Triple

T11679830
Position Surface form Disambiguated ID Type / Status
Subject Pureza station E277585 entity
Predicate hasCode P9567 FINISHED
Object PU
PU is the station code used to identify Pureza station in transportation and transit systems.
 E940548 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: [Pureza station, hasCode, PU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PU
Context triple: [Pureza station, hasCode, PU]
  • 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 a Chinese surname historically borne by various notable figures and families in China.
  • E. PUR
    PUR is the official FIBA country code used to represent the Puerto Rico men's national basketball team in international competitions.
  • 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: [Pureza station, hasCode, PU]
Generated description
PU is the station code used to identify Pureza station in transportation and transit systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PU
Target entity description: PU is the station code used to identify Pureza station in transportation and transit systems.
  • 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 a Chinese surname historically borne by various notable figures and families in China.
  • E. PUR
    PUR is the official FIBA country code used to represent the Puerto Rico men's national basketball team in international competitions.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.