Triple

T27747910
Position Surface form Disambiguated ID Type / Status
Subject Ge 4/4 III E702036 entity
Predicate hasNumberSeries P14612 FINISHED
Object RhB 641–652
RhB 641–652 is a series of modern electric locomotives operated by the Rhaetian Railway in Switzerland, used primarily for passenger and freight services on its metre-gauge network.
 E1786952 NE FINISHED

How this triple was built (3 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: RhB 641–652 | Statement: [Ge 4/4 III, hasNumberSeries, RhB 641–652]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RhB 641–652
Triple: [Ge 4/4 III, hasNumberSeries, RhB 641–652]
Generated description
RhB 641–652 is a series of modern electric locomotives operated by the Rhaetian Railway in Switzerland, used primarily for passenger and freight services on its metre-gauge network.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNumberSeries
Context triple: [Ge 4/4 III, hasNumberSeries, RhB 641–652]
  • A. hasSeriesNumber
    Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
  • B. hasOrdinalSeries chosen
    Indicates that one entity belongs to, or is positioned within, an ordered sequence or series relative to other entities.
  • C. isNumberedBy
    Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
  • D. numberOfSeries
    Indicates the total count of distinct series associated with or contained within a given entity.
  • E. isSeriesOf
    Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
  • F. None of above.

Provenance (6 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e47db99081909b438955637aa296 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e5970df88190923224d331fcb41d completed May 24, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_6a12e6cfffd4819098e7fc01a09f2a7c completed May 24, 2026, 11:53 a.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: April 27, 2026, 4:18 p.m.