Triple

T16433303
Position Surface form Disambiguated ID Type / Status
Subject MOAH E399120 entity
Predicate name P16 FINISHED
Object MOAH E399120 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: MOAH | Statement: [MOAH, name, MOAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOAH
Context triple: [MOAH, name, MOAH]
  • A. MOAH chosen
    MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
  • B. MOA
    MOA is a renowned anthropology museum at the University of British Columbia in Vancouver, best known for its extensive collections of Indigenous art and cultural artifacts from around the world.
  • C. MOHAP
    MOHAP is the federal government body responsible for overseeing public health, healthcare services, and disease prevention across the United Arab Emirates.
  • D. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • E. MOH
    MOH is the commonly used acronym for the Israeli Ministry of Health, the government body responsible for public health policy, regulation, and healthcare services in Israel.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba01a1c8190b5a4700e2364ae63 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045872a688190bcab27c6a2b952cd completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.