Triple

T15355791
Position Surface form Disambiguated ID Type / Status
Subject Lego Bionicle E367166 entity
Predicate themeOf P380 FINISHED
Object Piraka
Piraka are a group of villainous, mutated Skakdi characters from the Lego Bionicle universe known for their treachery and distinctive spined, toothy appearance.
 E1151147 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: Piraka | Statement: [Lego Bionicle, themeOf, Piraka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piraka
Context triple: [Lego Bionicle, themeOf, Piraka]
  • A. Waharoa
    Waharoa is a small rural township in the Waikato region of New Zealand, located near Matamata and serving as a local service and transport hub for the surrounding farming community.
  • B. Rongo
    Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
  • C. Tamatoa
    Tamatoa is the giant, treasure-obsessed, singing coconut crab who serves as a flamboyant antagonist in Disney's animated film "Moana."
  • D. Lokai
    Lokai is a dialect of the Madi language spoken by a subset of the Madi people in Central Africa.
  • E. Teiwa
    Teiwa is a Papuan language spoken on Pantar Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • 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: Piraka
Triple: [Lego Bionicle, themeOf, Piraka]
Generated description
Piraka are a group of villainous, mutated Skakdi characters from the Lego Bionicle universe known for their treachery and distinctive spined, toothy appearance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piraka
Target entity description: Piraka are a group of villainous, mutated Skakdi characters from the Lego Bionicle universe known for their treachery and distinctive spined, toothy appearance.
  • A. Waharoa
    Waharoa is a small rural township in the Waikato region of New Zealand, located near Matamata and serving as a local service and transport hub for the surrounding farming community.
  • B. Rongo
    Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
  • C. Tamatoa
    Tamatoa is the giant, treasure-obsessed, singing coconut crab who serves as a flamboyant antagonist in Disney's animated film "Moana."
  • D. Lokai
    Lokai is a dialect of the Madi language spoken by a subset of the Madi people in Central Africa.
  • E. Teiwa
    Teiwa is a Papuan language spoken on Pantar Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff02012fa48190a108f1ca710ffb15 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff02d0d0188190b6414a52bf8e6e54 completed May 9, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69ff037ddf1c8190b7c93c1b3edf33e8 completed May 9, 2026, 9:50 a.m.
Created at: April 10, 2026, 3:18 a.m.