Triple

T11114628
Position Surface form Disambiguated ID Type / Status
Subject Yulu language E262852 entity
Predicate hasAlternativeName P39 FINISHED
Object Yulu
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
 E905167 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: Yulu | Statement: [Yulu language, hasAlternativeName, Yulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yulu
Context triple: [Yulu language, hasAlternativeName, Yulu]
  • A. Yunak
    Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
  • B. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • E. Yaviza
    Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién 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: Yulu
Triple: [Yulu language, hasAlternativeName, Yulu]
Generated description
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yulu
Target entity description: Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • A. Yunak
    Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
  • B. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Lakitu
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • E. Yaviza
    Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7da99881908d38ea66c37dfb92 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42e67724481908bd9e73487a80d44 completed April 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69e4308103c48190b32ee3047d9a0860 completed April 19, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:27 p.m.