Triple

T11273559
Position Surface form Disambiguated ID Type / Status
Subject INGEMMET E266872 entity
Predicate shortName P43 FINISHED
Object INGEMMET E266872 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: INGEMMET | Statement: [INGEMMET, shortName, INGEMMET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INGEMMET
Context triple: [INGEMMET, shortName, INGEMMET]
  • A. INGEMMET chosen
    INGEMMET is Peru’s national geological, mining, and metallurgical institute responsible for studying and monitoring the country’s geological hazards and mineral resources.
  • B. Engi
    Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
  • C. Eppegem
    Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
  • D. Inge
    Inge is a given name of Germanic origin used in various European countries for both males and females.
  • E. GEM
    GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for bringing a Macintosh-like windowed interface to DOS-based personal computers and the Atari ST.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f43633948190b86f5603ac50ec47 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.