Triple

T29423880
Position Surface form Disambiguated ID Type / Status
Subject Lumberjacks E746229 entity
Predicate usesAlmaMater P172392 FINISHED
Object All Hail to SFA
"All Hail to SFA" is the alma mater song of Stephen F. Austin State University, traditionally sung to honor the school and its Lumberjacks community.
 E1866120 NE FINISHED

How this triple was built (3 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: All Hail to SFA | Statement: [Lumberjacks, usesAlmaMater, All Hail to SFA]
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: All Hail to SFA
Triple: [Lumberjacks, usesAlmaMater, All Hail to SFA]
Generated description
"All Hail to SFA" is the alma mater song of Stephen F. Austin State University, traditionally sung to honor the school and its Lumberjacks community.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesAlmaMater
Context triple: [Lumberjacks, usesAlmaMater, All Hail to SFA]
  • A. servesAsAlmaMaterOf
    Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
  • B. notableAlmaMater
    Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
  • C. formerlyHadEducationalInstitution
    Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
  • D. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • E. undergraduateInstitutionOf
    Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
  • F. None of above. chosen

Provenance (7 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_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6abe15d5c81909ccf4ce37f78bc43 completed May 3, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25d92a4b848190a5bd225df3a924a1 completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25e436c3788190844b822115d7d81b completed June 7, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_6a25e4ae38348190b98a48fc08dac9cb completed June 7, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69f6aa1c555081908787dbf76147f180 completed May 3, 2026, 1:51 a.m.
PDg Predicate description generation batch_69f6aaf31a548190b2f792ff4b8c002a completed May 3, 2026, 1:54 a.m.
Created at: April 28, 2026, 3:07 p.m.