Triple

T10502949
Position Surface form Disambiguated ID Type / Status
Subject Similac E247714 entity
Predicate hasIngredient P5291 FINISHED
Object ARA
ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
 E867360 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: ARA | Statement: [Similac, hasIngredient, ARA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARA
Context triple: [Similac, hasIngredient, ARA]
  • A. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • B. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • C. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • D. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • E. ARC
    ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
  • 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: ARA
Triple: [Similac, hasIngredient, ARA]
Generated description
ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARA
Target entity description: ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
  • A. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • B. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • C. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • D. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • E. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099c6a848190bf1d5361e9e61108 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dccec72481909bcfb6a9c5df7ba9 completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:25 p.m.