Triple

T9278711
Position Surface form Disambiguated ID Type / Status
Subject Val Rendena E223013 entity
Predicate hasRoad P959 FINISHED
Object SS239
SS239 is a regional road in northern Italy that serves as a key route connecting the Val Rendena area with surrounding Alpine valleys and towns.
E788017 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: SS239 | Statement: [Val Rendena, hasRoad, SS239]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS239
Context triple: [Val Rendena, hasRoad, SS239]
  • 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. SS16
    SS16 is a commercial and residential neighborhood in Subang Jaya, Selangor, Malaysia, known for its shopping centers, offices, and urban amenities.
  • C. 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.
  • D. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • E. SS-383
    SS-383 is the hull number of USS Pampanito, a World War II-era Balao-class submarine now preserved as a museum ship in San Francisco.
  • 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: SS239
Triple: [Val Rendena, hasRoad, SS239]
Generated description
SS239 is a regional road in northern Italy that serves as a key route connecting the Val Rendena area with surrounding Alpine valleys and towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SS239
Target entity description: SS239 is a regional road in northern Italy that serves as a key route connecting the Val Rendena area with surrounding Alpine valleys and towns.
  • 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. SS16
    SS16 is a commercial and residential neighborhood in Subang Jaya, Selangor, Malaysia, known for its shopping centers, offices, and urban amenities.
  • C. 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.
  • D. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • E. SS-383
    SS-383 is the hull number of USS Pampanito, a World War II-era Balao-class submarine now preserved as a museum ship in San Francisco.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cb28e081909b2754756c8f5dd0 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c4f254c819083301449c3e4b11d completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09da280288190b40f145e1836a53f completed April 4, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d09df7c7f48190b36b63227ff539b5 completed April 4, 2026, 5:13 a.m.
Created at: March 30, 2026, 7:34 p.m.