Triple

T5890155
Position Surface form Disambiguated ID Type / Status
Subject NGI E130968 entity
Predicate acronym P43 FINISHED
Object NGI E130968 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: NGI | Statement: [NGI, acronym, NGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NGI
Context triple: [NGI, acronym, NGI]
  • A. NGI chosen
    NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
  • B. NGP
    NGP is the station code for Nagpur Junction, a major railway hub in central India on the Indian Railways network.
  • C. NGA
    NGA is a bipartisan organization representing the governors of U.S. states and territories, providing a platform for policy development, best-practice sharing, and collective advocacy at the national level.
  • D. NGA
    NGA is the commonly used abbreviation for the National Gallery of Australia, the country’s premier national art museum located in Canberra.
  • E. NGA
    The NGA (National Geospatial-Intelligence Agency) is a U.S. government intelligence and combat support agency responsible for providing geospatial intelligence, mapping, and related standards for national security and defense.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b228508190b050acf51860a5c2 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b146ad348190baeeecb65f2bf811 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.