Triple

T12980670
Position Surface form Disambiguated ID Type / Status
Subject Society of Gynecologic Oncology E321643 entity
Predicate abbreviation P43 FINISHED
Object SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
 E1013879 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: SGO | Statement: [Society of Gynecologic Oncology, abbreviation, SGO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGO
Context triple: [Society of Gynecologic Oncology, abbreviation, SGO]
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. GSOFG
    GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
  • C. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • D. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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: SGO
Triple: [Society of Gynecologic Oncology, abbreviation, SGO]
Generated description
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGO
Target entity description: SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. GSOFG
    GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
  • C. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • D. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5b993481908f94fe096ade441b completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f200c88190a2aab15373cbedf5 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:39 p.m.