Triple

T6487929
Position Surface form Disambiguated ID Type / Status
Subject NOAA Ship Nancy Foster E146560 entity
Predicate callSign P1565 FINISHED
Object WTER
WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
 E595705 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: WTER | Statement: [NOAA Ship Nancy Foster, callSign, WTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTER
Context triple: [NOAA Ship Nancy Foster, callSign, WTER]
  • A. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • B. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • C. WTEO
    WTEO is the radio callsign assigned to the NOAA research vessel Bell M. Shimada.
  • D. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • E. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • 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: WTER
Triple: [NOAA Ship Nancy Foster, callSign, WTER]
Generated description
WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTER
Target entity description: WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
  • A. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • B. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • C. WTEO
    WTEO is the radio callsign assigned to the NOAA research vessel Bell M. Shimada.
  • D. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • E. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a96a4048190a28dee5fd9258486 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6545575788190acb374fcdb7f5edf completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654c0cdf88190994217223fb2f77a completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:52 p.m.