Triple

T15706535
Position Surface form Disambiguated ID Type / Status
Subject Parkes Observatory E380724 entity
Predicate hasAcronym P43 FINISHED
Object PKS
PKS is the standard radio source designation prefix used for astronomical objects cataloged from observations with the Parkes Observatory in Australia.
 E1172222 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: PKS | Statement: [Parkes Observatory, hasAcronym, PKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PKS
Context triple: [Parkes Observatory, hasAcronym, PKS]
  • A. PKS
    PKS is the station code for Park Street, a major metro station in Kolkata, India.
  • B. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • C. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • D. PK
    PK is a music producer best known for his work on DMX's influential debut album "It's Dark and Hell Is Hot."
  • E. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and 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: PKS
Triple: [Parkes Observatory, hasAcronym, PKS]
Generated description
PKS is the standard radio source designation prefix used for astronomical objects cataloged from observations with the Parkes Observatory in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PKS
Target entity description: PKS is the standard radio source designation prefix used for astronomical objects cataloged from observations with the Parkes Observatory in Australia.
  • A. PKS
    PKS is the station code for Park Street, a major metro station in Kolkata, India.
  • B. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • C. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • D. PK
    PK is a music producer best known for his work on DMX's influential debut album "It's Dark and Hell Is Hot."
  • E. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f70d44c81909edba6bd4b58b1c5 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:45 a.m.