Triple

T10734660
Position Surface form Disambiguated ID Type / Status
Subject INAH E253162 entity
Predicate shortName P43 FINISHED
Object INAH E253162 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: INAH | Statement: [INAH, shortName, INAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INAH
Context triple: [INAH, shortName, INAH]
  • A. INAH chosen
    INAH is Mexico’s National Institute of Anthropology and History, the federal agency responsible for researching, preserving, and managing the country’s archaeological and historical heritage.
  • B. INA
    INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
  • C. INA
    INA refers to the Indian National Army, a military force formed during World War II to fight against British colonial rule in India, primarily under the leadership of Subhas Chandra Bose.
  • D. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • E. Innwa
    Innwa is the historical city in Myanmar that served as the capital of several Burmese kingdoms, including the Kingdom of Ava.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71020e1c881909e40f398de2bdd25 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22cc4edc8190a7ab45e57ed94c47 completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.