Triple

T12643746
Position Surface form Disambiguated ID Type / Status
Subject Chaudfontaine E301964 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LG E294194 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: LG | Statement: [Chaudfontaine, vehicleRegistrationCode, LG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG
Context triple: [Chaudfontaine, vehicleRegistrationCode, LG]
  • A. LG
    LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
  • B. LG
    LG is an abbreviation commonly used to refer to the Local Group, the galaxy group that includes the Milky Way, Andromeda, and numerous smaller galaxies.
  • C. LG chosen
    LG is the vehicle registration code used on license plates for the Province of Liège in Belgium.
  • D. LG
    LG is the standard abbreviation for *Lumen Gentium*, the Second Vatican Council’s Dogmatic Constitution on the Church, which outlines Catholic teaching on the nature and mission of the Church.
  • E. LG Electronics
    LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.