Triple

T27180
Position Surface form Disambiguated ID Type / Status
Subject Guam E544 entity
Predicate hasIndigenousPeople P194 FINISHED
Object Chamorro E1180 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: Chamorro | Statement: [Guam, hasIndigenousPeople, Chamorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamorro
Context triple: [Guam, hasIndigenousPeople, Chamorro]
  • A. Chamorro chosen
    Chamorro is an Austronesian language spoken by the indigenous Chamorro people of Guam and the Northern Mariana Islands.
  • B. Tagalog
    Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
  • C. Filipino
    Filipinos are a Southeast Asian ethnolinguistic group native to the Philippines, known for their diverse Austronesian, Spanish, American, and Chinese cultural influences and a global diaspora.
  • D. Chamorro Standard Time
    Chamorro Standard Time is the time zone used in Guam and the Northern Mariana Islands, corresponding to UTC+10:00.
  • E. Baybayin
    Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2481f9eac819093d9a950eb1ab109 completed Feb. 28, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab0fb1c8190a7e8f31bf4d56eaf completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.