Triple

T17310080
Position Surface form Disambiguated ID Type / Status
Subject Tolaki people E420270 entity
Predicate hasSubgroup P747 FINISHED
Object Lalolara
Lalolara are a subgroup of the Tolaki people, an indigenous ethnic community of Southeast Sulawesi, Indonesia, with their own distinct cultural and social traditions.
 E1261393 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: Lalolara | Statement: [Tolaki people, hasSubgroup, Lalolara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lalolara
Context triple: [Tolaki people, hasSubgroup, Lalolara]
  • A. Lal-lo
    Lal-lo is a historic municipality in the province of Cagayan in the Philippines, once serving as a colonial-era capital and important settlement during Spanish rule.
  • B. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • 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: Lalolara
Triple: [Tolaki people, hasSubgroup, Lalolara]
Generated description
Lalolara are a subgroup of the Tolaki people, an indigenous ethnic community of Southeast Sulawesi, Indonesia, with their own distinct cultural and social traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lalolara
Target entity description: Lalolara are a subgroup of the Tolaki people, an indigenous ethnic community of Southeast Sulawesi, Indonesia, with their own distinct cultural and social traditions.
  • A. Lal-lo
    Lal-lo is a historic municipality in the province of Cagayan in the Philippines, once serving as a colonial-era capital and important settlement during Spanish rule.
  • B. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439970cf08190bc9e49ba830da0d9 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0182e466e8819096f61fb74d4147c5 completed May 11, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a01840ddbb08190a542faba4ca26e5a completed May 11, 2026, 7:23 a.m.
Created at: April 10, 2026, 5:43 a.m.