Triple

T8751063
Position Surface form Disambiguated ID Type / Status
Subject Maanyan language E207954 entity
Predicate hasAlternativeName P39 FINISHED
Object Ma’anyan E755247 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: Ma’anyan | Statement: [Maanyan language, hasAlternativeName, Ma’anyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ma’anyan
Context triple: [Maanyan language, hasAlternativeName, Ma’anyan]
  • A. Ma’anyan chosen
    Ma’anyan is an Austronesian language spoken by the Ma’anyan people of central Kalimantan in Indonesia, known for its conservative linguistic features and close relation to other East Barito languages.
  • B. Pancit Molo
    Pancit Molo is a Filipino soup dish from Iloilo featuring pork- or chicken-filled dumplings in a savory broth, reflecting the culinary heritage of the Hiligaynon people.
  • C. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • D. Sarilamak
    Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
  • E. Calabarzon
    Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518d48b481909e2abf5d60bf7c78 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:39 p.m.