Triple

T5275255
Position Surface form Disambiguated ID Type / Status
Subject Ulos E119357 entity
Predicate associatedWith P37 FINISHED
Object Pakpak Batak E22000 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: Pakpak Batak | Statement: [Ulos, associatedWith, Pakpak Batak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakpak Batak
Context triple: [Ulos, associatedWith, Pakpak Batak]
  • A. Tapanuli
    Tapanuli is a region in northern Sumatra, Indonesia, known for its Batak cultural heritage and distinct highland landscapes.
  • B. Batak chosen
    The Batak are a group of closely related indigenous ethnic communities from North Sumatra, Indonesia, known for their distinct languages, traditional houses, and rich cultural and ritual practices.
  • C. Tagakaulo
    Tagakaulo are an indigenous ethnic group in the southern Philippines, traditionally inhabiting parts of Mindanao and known for their distinct language and cultural practices.
  • D. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • E. Sukoró
    Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c23bed88190b406dee21957d823 completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187a1cf881908b45bc32c03d33be completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:51 p.m.