Triple

T28489600
Position Surface form Disambiguated ID Type / Status
Subject Chinese Train Control System E720925 entity
Predicate hasComponentLevel P89909 FINISHED
Object CTCS-0
CTCS-0 is the most basic level of the Chinese Train Control System, used primarily for low-speed or less complex railway lines with minimal automatic control functions.
 E1819255 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: CTCS-0 | Statement: [Chinese Train Control System, hasComponentLevel, CTCS-0]
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: CTCS-0
Triple: [Chinese Train Control System, hasComponentLevel, CTCS-0]
Generated description
CTCS-0 is the most basic level of the Chinese Train Control System, used primarily for low-speed or less complex railway lines with minimal automatic control functions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasComponentLevel
Context triple: [Chinese Train Control System, hasComponentLevel, CTCS-0]
  • A. hasLevel
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • B. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger entity.
  • C. containsLevel chosen
    Indicates that one entity includes or encompasses a specific level or layer within its structure or hierarchy.
  • D. hasLevelType
    Indicates that an entity is associated with a specific type or category of level (e.g., difficulty, hierarchy, or stage).
  • E. hasCategoryLevel
    Indicates that something is associated with a specific hierarchical category or tier within a classification system.
  • 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69ffb1f0b03c81909ddb81f07ce74e88 completed May 9, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1641a4cd048190a3da10225fffefe3 completed May 27, 2026, 12:58 a.m.
NEDg Description generation batch_6a164361fb7c8190a20577ad616e82c0 completed May 27, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a1643ded7d88190a413411a7ffa26b1 completed May 27, 2026, 1:07 a.m.
PD Predicate disambiguation batch_69ffb1662b2481908582e0612744f4c5 completed May 9, 2026, 10:12 p.m.
Created at: April 28, 2026, 3 a.m.