Triple

T14919543
Position Surface form Disambiguated ID Type / Status
Subject Neponset River wharf at Milton, Massachusetts E371471 entity
Predicate transportModeConnected P37664 FINISHED
Object water transport 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: water transport | Statement: [Neponset River wharf at Milton, Massachusetts, transportModeConnected, water transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportModeConnected
Context triple: [Neponset River wharf at Milton, Massachusetts, transportModeConnected, water transport]
  • A. transportModePresent
    Indicates that a particular mode of transportation is involved or available in the described context or event.
  • B. transportModeIntegration
    Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
  • C. transportConnectionTo chosen
    Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another entity.
  • D. transportAssumption
    Indicates an assumption that something can be transported or carried from one place or context to another.
  • E. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69de9a52ba988190a26e268b4ea083ea completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:33 a.m.