Triple

T7552572
Position Surface form Disambiguated ID Type / Status
Subject Tías E178572 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GC E621634 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: GC | Statement: [Tías, vehicleRegistrationCode, GC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GC
Context triple: [Tías, vehicleRegistrationCode, GC]
  • A. GC
    GC is the common abbreviation for the Guardia Civil, Spain’s national gendarmerie-style law enforcement agency responsible for public security and policing, especially in rural areas.
  • B. GC
    GC is the post-nominal abbreviation for the George Cross, one of the United Kingdom’s highest civilian decorations for acts of great heroism and courage in extreme danger.
  • C. GC
    GC is the commonly used abbreviation for the General Conference of Seventh-day Adventists, the global administrative and leadership body of the Seventh-day Adventist Church.
  • D. GC chosen
    GC is the vehicle registration code used for the island of Gran Canaria in Spain’s Canary Islands.
  • E. Serial GC
    Serial GC is a simple, single-threaded garbage collector in the HotSpot JVM designed primarily for small applications or environments with limited CPU resources.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f33c968819089fd0a2b07b076a3 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.