Triple

T20829116
Position Surface form Disambiguated ID Type / Status
Subject Greenstone E512779 entity
Predicate hasCommunity P2605 FINISHED
Object LON NE NERFINISHED

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: LON | Statement: [Greenstone, hasCommunity, LON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LON
Context triple: [Greenstone, hasCommunity, LON]
  • A. LONN
    LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
  • B. Lons chosen
    Lons is a commune in southwestern France, situated near the city of Pau in the Pyrénées-Atlantiques department.
  • C. Lon
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • D. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • E. Lont
    Lont is the ISO 15924 four-letter code assigned to the Lontara script used for writing several languages of Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32030c081908249449aae5925c8 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.