Triple

T24945002
Position Surface form Disambiguated ID Type / Status
Subject Rocky Hill–Glastonbury Ferry E624161 entity
Predicate currentVesselName P14494 FINISHED
Object Hollister III
Hollister III is the modern ferry vessel that carries passengers and vehicles across the Connecticut River between Rocky Hill and Glastonbury, Connecticut.
 E1656336 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: Hollister III | Statement: [Rocky Hill–Glastonbury Ferry, currentVesselName, Hollister III]
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: Hollister III
Triple: [Rocky Hill–Glastonbury Ferry, currentVesselName, Hollister III]
Generated description
Hollister III is the modern ferry vessel that carries passengers and vehicles across the Connecticut River between Rocky Hill and Glastonbury, Connecticut.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: currentVesselName
Context triple: [Rocky Hill–Glastonbury Ferry, currentVesselName, Hollister III]
  • A. namedVesselOf
    Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
  • B. vesselDesignation
    Indicates that a specific identifying designation (such as a name, number, or code) is assigned to a vessel.
  • C. hasVessel
    Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
  • D. vesselService
    Indicates a service relationship in which one entity provides, operates, or maintains a vessel (such as a ship or boat) for another entity.
  • E. shipName chosen
    Indicates the name assigned to a specific ship in the relationship.
  • 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_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a103345eff48190bf5fdbe7be0b5834 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10341fe7448190815cb4db09d3f298 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034c45fb88190865f904fd8e766b3 completed May 22, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 18, 2026, 5:53 a.m.