Triple

T13552913
Position Surface form Disambiguated ID Type / Status
Subject Polarimetric and Helioseismic Imager E323694 entity
Predicate abbreviation P43 FINISHED
Object PHI
PHI is a scientific instrument designed to study the Sun’s magnetic fields and internal structure using polarimetric and helioseismic measurements.
 E1047344 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: PHI | Statement: [Polarimetric and Helioseismic Imager, abbreviation, PHI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PHI
Context triple: [Polarimetric and Helioseismic Imager, abbreviation, PHI]
  • A. PHI
    PHI is the standard abbreviation used for the NBA’s Philadelphia 76ers.
  • B. PHI
    PHI is the standard abbreviation used for California Points of Historical Interest, a state-level designation for sites of local historical significance.
  • C. PHI
    PHI refers to the Philadelphia Eagles, a professional American football team based in Philadelphia that competes in the NFL.
  • D. Φ
    Φ is the Greek letter Phi, commonly used as a symbol in mathematics, science, and the humanities, and as an emblematic character in organizations such as Phi Beta Kappa.
  • E. PHL
    PHL is the three-letter IATA airport code for Philadelphia International Airport, the primary commercial airport serving the Philadelphia metropolitan area in Pennsylvania, USA.
  • 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: PHI
Triple: [Polarimetric and Helioseismic Imager, abbreviation, PHI]
Generated description
PHI is a scientific instrument designed to study the Sun’s magnetic fields and internal structure using polarimetric and helioseismic measurements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PHI
Target entity description: PHI is a scientific instrument designed to study the Sun’s magnetic fields and internal structure using polarimetric and helioseismic measurements.
  • A. PHI
    PHI is the standard abbreviation used for the NBA’s Philadelphia 76ers.
  • B. PHI
    PHI is the standard abbreviation used for California Points of Historical Interest, a state-level designation for sites of local historical significance.
  • C. PHI
    PHI refers to the Philadelphia Eagles, a professional American football team based in Philadelphia that competes in the NFL.
  • D. Φ
    Φ is the Greek letter Phi, commonly used as a symbol in mathematics, science, and the humanities, and as an emblematic character in organizations such as Phi Beta Kappa.
  • E. PHL
    PHL is the three-letter IATA airport code for Philadelphia International Airport, the primary commercial airport serving the Philadelphia metropolitan area in Pennsylvania, USA.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:46 p.m.