Triple

T8481080
Position Surface form Disambiguated ID Type / Status
Subject MV Walla Walla E200518 entity
Predicate callSign P1565 FINISHED
Object WYR4480
WYR4480 is the radio call sign assigned to the American passenger and vehicle ferry MV Walla Walla.
 E736746 NE FINISHED

How this triple was built (4 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: WYR4480 | Statement: [MV Walla Walla, callSign, WYR4480]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WYR4480
Context triple: [MV Walla Walla, callSign, WYR4480]
  • A. WYB
    WYB is the National Rail station code for Weybridge railway station in Surrey, England.
  • B. WR4
    WR4 is a postal district within the WR (Worcester) postcode area in England, covering part of Worcester and its surrounding localities.
  • C. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • D. WY
    WY is the official two-letter United States Postal Service abbreviation for the state of Wyoming.
  • E. WA-04
    WA-04 is the designation for Washington State’s 4th congressional district, a U.S. House of Representatives district located in central Washington.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: WYR4480
Triple: [MV Walla Walla, callSign, WYR4480]
Generated description
WYR4480 is the radio call sign assigned to the American passenger and vehicle ferry MV Walla Walla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WYR4480
Target entity description: WYR4480 is the radio call sign assigned to the American passenger and vehicle ferry MV Walla Walla.
  • A. WYB
    WYB is the National Rail station code for Weybridge railway station in Surrey, England.
  • B. WR4
    WR4 is a postal district within the WR (Worcester) postcode area in England, covering part of Worcester and its surrounding localities.
  • C. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • D. WY
    WY is the official two-letter United States Postal Service abbreviation for the state of Wyoming.
  • E. WA-04
    WA-04 is the designation for Washington State’s 4th congressional district, a U.S. House of Representatives district located in central Washington.
  • F. None of above. chosen

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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5245034819088c7c5c40170c020 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.