Triple

T5654126
Position Surface form Disambiguated ID Type / Status
Subject Regional-Express E124575 entity
Predicate shortName P43 FINISHED
Object RE E114950 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: RE | Statement: [Regional-Express, shortName, RE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RE
Context triple: [Regional-Express, shortName, RE]
  • A. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE chosen
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • E. RES
    RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f7efec8190946c925130176d5a completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d97b8dc8190865ff55071954b30 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.