Triple

T12335878
Position Surface form Disambiguated ID Type / Status
Subject Maguindanao E294084 entity
Predicate region P40 FINISHED
Object BARMM E456094 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: BARMM | Statement: [Maguindanao, region, BARMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BARMM
Context triple: [Maguindanao, region, BARMM]
  • A. BARMM chosen
    BARMM is a predominantly Muslim autonomous region in the southern Philippines with its own government and expanded self-rule.
  • B. Batbayan
    Batbayan was a 7th-century Bulgar leader, known as the eldest son and successor of Khan Kubrat who briefly ruled the fragmented confederation of Old Great Bulgaria before its dissolution under Khazar pressure.
  • C. Bayan ng Poro
    Bayan ng Poro is a municipality in the province of Cebu in the Philippines, located on Poro Island in the Camotes Sea.
  • D. Bayan
    Bayan is a traditional Sasak village in northern Lombok, Indonesia, known for its preserved indigenous culture, historic mosques, and role as a gateway to the Mount Rinjani area.
  • E. Bagumbayan
    Bagumbayan is a landlocked agricultural municipality in the province of Sultan Kudarat in the Philippines, known for its vast farmlands and rural communities.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.