Triple

T9577388
Position Surface form Disambiguated ID Type / Status
Subject Tokodede language E231078 entity
Predicate hasAlternativeName P39 FINISHED
Object Tocodede
Tocodede is an Austronesian language spoken primarily in the Liquiçá region of East Timor.
 E809223 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: Tocodede | Statement: [Tokodede language, hasAlternativeName, Tocodede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tocodede
Context triple: [Tokodede language, hasAlternativeName, Tocodede]
  • A. The Code
    "The Code" is a poem by Robert Frost featured in his collection *North of Boston*, reflecting his characteristic exploration of rural New England life and moral complexity.
  • B. The Code
    The Code is a film featuring Australian actress Kate Beahan, known for her roles in both Australian cinema and international productions.
  • C. Todee
    Todee is a district-level administrative area located within Montserrado County in Liberia.
  • D. La To
    La To is a Vietnamese deity venerated as a patron of medicine and physicians.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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: Tocodede
Triple: [Tokodede language, hasAlternativeName, Tocodede]
Generated description
Tocodede is an Austronesian language spoken primarily in the Liquiçá region of East Timor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tocodede
Target entity description: Tocodede is an Austronesian language spoken primarily in the Liquiçá region of East Timor.
  • A. The Code
    "The Code" is a poem by Robert Frost featured in his collection *North of Boston*, reflecting his characteristic exploration of rural New England life and moral complexity.
  • B. The Code
    The Code is a film featuring Australian actress Kate Beahan, known for her roles in both Australian cinema and international productions.
  • C. Todee
    Todee is a district-level administrative area located within Montserrado County in Liberia.
  • D. La To
    La To is a Vietnamese deity venerated as a patron of medicine and physicians.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161e6a1308190932c8386e1c24f2e completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d165a8c80081909e4d0837cbaabf95 completed April 4, 2026, 7:25 p.m.
Created at: March 30, 2026, 8:05 p.m.