Triple

T11001172
Position Surface form Disambiguated ID Type / Status
Subject SARA E260006 entity
Predicate hasSubsystem P4718 FINISHED
Object SWIM
SWIM is a subsystem within the SARA framework, likely responsible for a specific functional module such as data handling, communication, or workflow management.
 E898946 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: SWIM | Statement: [SARA, hasSubsystem, SWIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SWIM
Context triple: [SARA, hasSubsystem, SWIM]
  • A. Come Swim
    Come Swim is a 2017 experimental short film that marked Kristen Stewart’s directorial debut, blending impressionistic visuals with a fragmented narrative about heartbreak and emotional isolation.
  • B. Nuotaea
    Nuotaea is a small village settlement located on the atoll of Abaiang in the island nation of Kiribati.
  • C. Schwimmer
    Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
  • D. Sink or Swim
    "Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
  • E. Swimming
    Swimming is a water-based physical activity and sport involving self-propelled movement through water using coordinated limb and body motions.
  • 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: SWIM
Triple: [SARA, hasSubsystem, SWIM]
Generated description
SWIM is a subsystem within the SARA framework, likely responsible for a specific functional module such as data handling, communication, or workflow management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SWIM
Target entity description: SWIM is a subsystem within the SARA framework, likely responsible for a specific functional module such as data handling, communication, or workflow management.
  • A. Come Swim
    Come Swim is a 2017 experimental short film that marked Kristen Stewart’s directorial debut, blending impressionistic visuals with a fragmented narrative about heartbreak and emotional isolation.
  • B. Nuotaea
    Nuotaea is a small village settlement located on the atoll of Abaiang in the island nation of Kiribati.
  • C. Schwimmer
    Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
  • D. Sink or Swim
    "Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
  • E. Swimming
    Swimming is a water-based physical activity and sport involving self-propelled movement through water using coordinated limb and body motions.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d68b608190a8d016b9383e82f8 completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e35570b0bc8190a939b0c8e3ce8105 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:25 p.m.