Triple

T4726228
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of Tanzania E104891 entity
Predicate alsoKnownAs P39 FINISHED
Object Bunge
Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
 E463957 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: Bunge | Statement: [National Assembly of Tanzania, alsoKnownAs, Bunge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bunge
Context triple: [National Assembly of Tanzania, alsoKnownAs, Bunge]
  • A. Archer Daniels Midland
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • B. Bunge Land
    Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
  • C. Hillenbrand
    Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
  • D. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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: Bunge
Triple: [National Assembly of Tanzania, alsoKnownAs, Bunge]
Generated description
Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bunge
Target entity description: Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • A. Archer Daniels Midland
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • B. Bunge Land
    Bunge Land is a low-lying, largely sandy Arctic island or landmass within Russia’s New Siberian Islands archipelago, known for being periodically flooded by the sea.
  • C. Hillenbrand
    Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
  • D. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Bühler
    Bühler is a German-language surname borne by various notable individuals across fields such as politics, sports, and academia.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6446b42081908e023979c9685730 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be109c67648190ba9bda7fc5cb3dd1 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be134fbc088190a2c7b3c3e7f00584 completed March 21, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69be13e813e08190842ad5c2ad8e47cc completed March 21, 2026, 3:43 a.m.
Created at: March 20, 2026, 1:18 p.m.