Triple

T11946753
Position Surface form Disambiguated ID Type / Status
Subject South Pacific Convergence Zone E284317 entity
Predicate alsoKnownAs P39 FINISHED
Object SPCZ
SPCZ is a major climatological feature in the South Pacific characterized by a persistent band of low-level convergence, cloudiness, and heavy rainfall that strongly influences regional weather and climate patterns.
 E955889 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: SPCZ | Statement: [South Pacific Convergence Zone, alsoKnownAs, SPCZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPCZ
Context triple: [South Pacific Convergence Zone, alsoKnownAs, SPCZ]
  • A. ZSP
    ZSP is the three-letter station code used to identify St James's Park tube station on the London Underground network.
  • B. SPZ
    SPZ is the FAA airport code for Silver Springs Airport, a public-use airfield serving the Silver Springs area in Nevada, United States.
  • C. SPC
    SPC is the IATA airport code for La Palma Airport in Spain’s Canary Islands.
  • D. SPC
    SPC is the commonly used abbreviation for the Supreme People’s Court of Vietnam, the country’s highest judicial body.
  • E. SPC
    The SPC is the highest judicial authority in the People's Republic of China, overseeing the administration of justice and interpreting national laws.
  • 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: SPCZ
Triple: [South Pacific Convergence Zone, alsoKnownAs, SPCZ]
Generated description
SPCZ is a major climatological feature in the South Pacific characterized by a persistent band of low-level convergence, cloudiness, and heavy rainfall that strongly influences regional weather and climate patterns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPCZ
Target entity description: SPCZ is a major climatological feature in the South Pacific characterized by a persistent band of low-level convergence, cloudiness, and heavy rainfall that strongly influences regional weather and climate patterns.
  • A. ZSP
    ZSP is the three-letter station code used to identify St James's Park tube station on the London Underground network.
  • B. SPZ
    SPZ is the FAA airport code for Silver Springs Airport, a public-use airfield serving the Silver Springs area in Nevada, United States.
  • C. SPC
    SPC is the IATA airport code for La Palma Airport in Spain’s Canary Islands.
  • D. SPC
    The SPC is the highest judicial authority in the People's Republic of China, overseeing the administration of justice and interpreting national laws.
  • E. SPC
    SPC is the commonly used abbreviation for the Supreme People’s Court of Vietnam, the country’s highest judicial body.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
NEDg Description generation batch_69f4645a7038819089d7533715f8a430 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f4664ff9608190b23e29b3e5c1c326 completed May 1, 2026, 8:37 a.m.
Created at: April 8, 2026, 9:45 p.m.