Triple

T13151466
Position Surface form Disambiguated ID Type / Status
Subject Māori people E312475 entity
Predicate traditionalArt P1114 FINISHED
Object ta moko
Ta moko is the traditional Māori practice of permanent body and facial marking that signifies identity, genealogy, and social status.
E1025267 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: ta moko | Statement: [Māori people, traditionalArt, ta moko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ta moko
Context triple: [Māori people, traditionalArt, ta moko]
  • A. Ta Mok
    Ta Mok was a senior Khmer Rouge military commander and notorious hardliner who played a key role in the brutal regime of Democratic Kampuchea.
  • B. Tamakautoga
    Tamakautoga is a small settlement located on Nonouti Island in the Pacific island nation of Kiribati.
  • C. Temoq
    Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
  • D. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • E. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • 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: ta moko
Triple: [Māori people, traditionalArt, ta moko]
Generated description
Ta moko is the traditional Māori practice of permanent body and facial marking that signifies identity, genealogy, and social status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ta moko
Target entity description: Ta moko is the traditional Māori practice of permanent body and facial marking that signifies identity, genealogy, and social status.
  • A. Ta Mok
    Ta Mok was a senior Khmer Rouge military commander and notorious hardliner who played a key role in the brutal regime of Democratic Kampuchea.
  • B. Tamakautoga
    Tamakautoga is a small settlement located on Nonouti Island in the Pacific island nation of Kiribati.
  • C. Temoq
    Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
  • D. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • E. Mokk
    Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f17376c88190b08a4f2f5967b57c completed May 3, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_69f6f1e5bc888190a0a82f45922de104 completed May 3, 2026, 6:57 a.m.
Created at: April 9, 2026, 9:11 p.m.