Triple

T9452619
Position Surface form Disambiguated ID Type / Status
Subject Skanska AB E227930 entity
Predicate tickerSymbol P1447 FINISHED
Object SKA B
SKA B is the stock ticker symbol for Skanska AB’s Class B shares, which trade on the Nasdaq Stockholm exchange.
 E800527 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: SKA B | Statement: [Skanska AB, tickerSymbol, SKA B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SKA B
Context triple: [Skanska AB, tickerSymbol, SKA B]
  • A. Baade S
    Baade S is a small lunar impact crater that forms a satellite feature of the larger crater Baade on the Moon’s surface.
  • B. Baade B
    Baade B is a small lunar impact crater that lies near the larger crater Baade on the Moon’s surface.
  • C. SAS-B
    SAS-B is a U.S. Navy satellite from the 1970s that was part of the Space Surveillance (SAS) series used to study celestial X-ray sources.
  • D. Baade K
    Baade K is a small lunar impact crater that forms one of the satellite craters surrounding the larger crater Baade on the Moon’s surface.
  • E. SKA Saint Petersburg
    SKA Saint Petersburg is a prominent professional ice hockey club based in Saint Petersburg, Russia, competing in the Kontinental Hockey League (KHL).
  • 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: SKA B
Triple: [Skanska AB, tickerSymbol, SKA B]
Generated description
SKA B is the stock ticker symbol for Skanska AB’s Class B shares, which trade on the Nasdaq Stockholm exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SKA B
Target entity description: SKA B is the stock ticker symbol for Skanska AB’s Class B shares, which trade on the Nasdaq Stockholm exchange.
  • A. Baade S
    Baade S is a small lunar impact crater that forms a satellite feature of the larger crater Baade on the Moon’s surface.
  • B. Baade B
    Baade B is a small lunar impact crater that lies near the larger crater Baade on the Moon’s surface.
  • C. SAS-B
    SAS-B is a U.S. Navy satellite from the 1970s that was part of the Space Surveillance (SAS) series used to study celestial X-ray sources.
  • D. Baade K
    Baade K is a small lunar impact crater that forms one of the satellite craters surrounding the larger crater Baade on the Moon’s surface.
  • E. SKA Saint Petersburg
    SKA Saint Petersburg is a prominent professional ice hockey club based in Saint Petersburg, Russia, competing in the Kontinental Hockey League (KHL).
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f68f9b081908bee041d4fc77e57 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1227b4fc881908c03409f78de1a87 completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1233a63d481908e322b7e86b5d124 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123d32c808190985da2639d2120f7 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:52 p.m.