Triple

T12195412
Position Surface form Disambiguated ID Type / Status
Subject Field of Reeds E290573 entity
Predicate otherName P39 FINISHED
Object Aaru
Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
 E972242 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: Aaru | Statement: [Field of Reeds, otherName, Aaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aaru
Context triple: [Field of Reeds, otherName, Aaru]
  • A. Aru
    Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
  • B. Aru
    Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
  • C. Ardyaloon
    Ardyaloon is a remote Aboriginal community in Western Australia that serves as a primary home and cultural center for the Bardi people on the Dampier Peninsula.
  • D. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • E. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • 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: Aaru
Triple: [Field of Reeds, otherName, Aaru]
Generated description
Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aaru
Target entity description: Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
  • A. Aru
    Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
  • B. Aru
    Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
  • C. Ardyaloon
    Ardyaloon is a remote Aboriginal community in Western Australia that serves as a primary home and cultural center for the Bardi people on the Dampier Peninsula.
  • D. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • E. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8f31508190972d282b5a8816df completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f618cab45481909d717c7f656924f2 completed May 2, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69f61974e97081908d904cacd86c03c1 completed May 2, 2026, 3:34 p.m.
Created at: April 8, 2026, 9:50 p.m.