Triple

T6392545
Position Surface form Disambiguated ID Type / Status
Subject NOAA Ship Thomas Jefferson E143862 entity
Predicate hullNumber P3152 FINISHED
Object S 222
S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
E590796 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: S 222 | Statement: [NOAA Ship Thomas Jefferson, hullNumber, S 222]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S 222
Context triple: [NOAA Ship Thomas Jefferson, hullNumber, S 222]
  • A. S-220
    S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
  • B. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • C. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • D. S2
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • E. D22
    D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
  • 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: S 222
Triple: [NOAA Ship Thomas Jefferson, hullNumber, S 222]
Generated description
S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S 222
Target entity description: S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
  • A. S-220
    S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
  • B. S2
    S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
  • C. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • D. S2
    S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • E. D22
    D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687db4b881909dd84d5a947cc3e3 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.