Triple

T13417512
Position Surface form Disambiguated ID Type / Status
Subject Tana Toraja Regency E313249 entity
Predicate hasTraditionalHouseType P51641 FINISHED
Object tongkonan E384829 NE FINISHED

How this triple was built (2 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: tongkonan | Statement: [Tana Toraja Regency, hasTraditionalHouseType, tongkonan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tongkonan
Context triple: [Tana Toraja Regency, hasTraditionalHouseType, tongkonan]
  • A. tongkonan chosen
    Tongkonan is the distinctive ancestral house of the Toraja people of Sulawesi, Indonesia, known for its boat-shaped roof and central role in social and ceremonial life.
  • B. TUNAN
    TUNAN is an academic consortium led by Tohoku University that connects universities across Asia to promote collaborative education and research.
  • C. Tengatangi
    Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
  • D. Putho-Tuntungin
    Putho-Tuntungin is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Tebunginako
    Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73082a2548190aefc0f202b84165c completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.