Triple

T6556413
Position Surface form Disambiguated ID Type / Status
Subject Oslo Stock Exchange E152459 entity
Predicate hasIndex P2915 FINISHED
Object OSEFX Index
The OSEFX Index is a benchmark stock market index that tracks the performance of the most liquid and frequently traded shares listed on the Oslo Stock Exchange.
 E604817 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: OSEFX Index | Statement: [Oslo Stock Exchange, hasIndex, OSEFX Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSEFX Index
Context triple: [Oslo Stock Exchange, hasIndex, OSEFX Index]
  • A. OCFO
    OCFO is the government agency responsible for managing the finances, budgeting, and fiscal policy of the District of Columbia.
  • B. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • C. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • D. OEX
    OEX is the ticker symbol for the S&P 100 Index, a benchmark of 100 major blue-chip U.S. stocks.
  • E. OEDF
    OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
  • 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: OSEFX Index
Triple: [Oslo Stock Exchange, hasIndex, OSEFX Index]
Generated description
The OSEFX Index is a benchmark stock market index that tracks the performance of the most liquid and frequently traded shares listed on the Oslo Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSEFX Index
Target entity description: The OSEFX Index is a benchmark stock market index that tracks the performance of the most liquid and frequently traded shares listed on the Oslo Stock Exchange.
  • A. OCFO
    OCFO is the government agency responsible for managing the finances, budgeting, and fiscal policy of the District of Columbia.
  • B. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • C. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • D. OEX
    OEX is the ticker symbol for the S&P 100 Index, a benchmark of 100 major blue-chip U.S. stocks.
  • E. OEDF
    OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1d28bc8190a2fa4b3e1e39863c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d559ad4881909c1e7712d84945f6 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d676e43081909bf2a9cceff0b9b3 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d84076d48190ada0903af49613de completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.