Triple

T16747406
Position Surface form Disambiguated ID Type / Status
Subject DOI E406990 entity
Predicate competesWith P1375 FINISHED
Object PURL
PURL (Persistent Uniform Resource Locator) is a system for creating stable, long-lasting web addresses that redirect to the current location of digital resources.
 E1232392 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: PURL | Statement: [DOI, competesWith, PURL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PURL
Context triple: [DOI, competesWith, PURL]
  • A. PUP
    PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
  • B. PRL
    PRL is the abbreviation for the Polish People’s Republic, the communist state that existed in Poland from the end of World War II until 1989.
  • C. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • D. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • E. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • 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: PURL
Triple: [DOI, competesWith, PURL]
Generated description
PURL (Persistent Uniform Resource Locator) is a system for creating stable, long-lasting web addresses that redirect to the current location of digital resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PURL
Target entity description: PURL (Persistent Uniform Resource Locator) is a system for creating stable, long-lasting web addresses that redirect to the current location of digital resources.
  • A. PUP
    PUP is a public state university located in Patiala, Punjab, India, known for its focus on Punjabi language, literature, and cultural studies alongside a wide range of academic programs.
  • B. PRL
    PRL is the abbreviation for the Polish People’s Republic, the communist state that existed in Poland from the end of World War II until 1989.
  • C. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • D. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • E. PUST
    PUST is the Pontifical University of St. Thomas Aquinas in Rome, a major Catholic institution of higher education specializing in philosophy and theology.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2439848190a86a5bfc0702e2fe completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52033748190ae207d72d437236b completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a685753881908c3fef10823ce569 completed May 10, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7174f5c8190891ddd180c50aee3 completed May 10, 2026, 3:41 p.m.
Created at: April 10, 2026, 5:21 a.m.