Triple

T7525879
Position Surface form Disambiguated ID Type / Status
Subject Joint ALMA Observatory E177890 entity
Predicate abbreviation P43 FINISHED
Object JAO
JAO is the Joint ALMA Observatory, the organization responsible for operating and managing the Atacama Large Millimeter/submillimeter Array radio telescope facility in Chile.
 E669638 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: JAO | Statement: [Joint ALMA Observatory, abbreviation, JAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JAO
Context triple: [Joint ALMA Observatory, abbreviation, JAO]
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. Jao
    Jao is a variant transliteration of the Chinese surname commonly rendered as Zhao.
  • C. JASA
    JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
  • D. CJO
    CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
  • E. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • 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: JAO
Triple: [Joint ALMA Observatory, abbreviation, JAO]
Generated description
JAO is the Joint ALMA Observatory, the organization responsible for operating and managing the Atacama Large Millimeter/submillimeter Array radio telescope facility in Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JAO
Target entity description: JAO is the Joint ALMA Observatory, the organization responsible for operating and managing the Atacama Large Millimeter/submillimeter Array radio telescope facility in Chile.
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. Jao
    Jao is a variant transliteration of the Chinese surname commonly rendered as Zhao.
  • C. JASA
    JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
  • D. CJO
    CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
  • E. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c7ac5c8190bbf9befdff791de0 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84635feb881908930bf355ac56a47 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:46 p.m.