Triple

T24895293
Position Surface form Disambiguated ID Type / Status
Subject Tobu 30000 series E623122 entity
Predicate family P566 FINISHED
Object Tobu 10000 series family
The Tobu 10000 series family is a group of Japanese electric multiple unit commuter trains operated by Tobu Railway, serving as the basis for several later Tobu EMU series.
 E626233 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: Tobu 10000 series family | Statement: [Tobu 30000 series, family, Tobu 10000 series family]
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: Tobu 10000 series family
Triple: [Tobu 30000 series, family, Tobu 10000 series family]
Generated description
The Tobu 10000 series family is a group of Japanese electric multiple unit commuter trains operated by Tobu Railway, serving as the basis for several later Tobu EMU series.

Provenance (5 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_69e2fac597708190a922bf39a49ec70a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42346cddc81908691d5a6105fbd01 completed May 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103320f3208190b517213b417366ed completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a10348fb55c819087a28d4a7280589c completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 5:26 a.m.