Triple

T7142574
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 36 E166481 entity
Predicate hasPlannedFunction P10988 FINISHED
Object connect multiple urban districts in Wuhan LITERAL 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: connect multiple urban districts in Wuhan | Statement: [Wuhan Metro Line 36, hasPlannedFunction, connect multiple urban districts in Wuhan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedFunction
Context triple: [Wuhan Metro Line 36, hasPlannedFunction, connect multiple urban districts in Wuhan]
  • A. hasPlanningFunction
    Indicates that an entity is responsible for or involved in planning, organizing, or determining future actions or strategies.
  • B. hasPlanningPattern
    Indicates that an entity follows or is associated with a particular planning pattern or structured approach to planning.
  • C. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • D. hasFunctionInPresent
    Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
  • E. hasPlan chosen
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • F. None of above.

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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:45 p.m.