Triple

T6581371
Position Surface form Disambiguated ID Type / Status
Subject Dow Jones Utility Average E157303 entity
Predicate tickerSymbol P1447 FINISHED
Object ^DJU
^DJU is the ticker symbol for the Dow Jones Utility Average, a U.S. stock market index tracking the performance of major utility companies.
 E605242 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: ^DJU | Statement: [Dow Jones Utility Average, tickerSymbol, ^DJU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ^DJU
Context triple: [Dow Jones Utility Average, tickerSymbol, ^DJU]
  • A. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • B. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • C. .dj
    .dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. DØ
    DØ was a major particle physics experiment at the Tevatron collider that investigated high-energy proton–antiproton collisions to study fundamental particles and forces, including detailed measurements of the top quark and searches for new physics.
  • 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: ^DJU
Triple: [Dow Jones Utility Average, tickerSymbol, ^DJU]
Generated description
^DJU is the ticker symbol for the Dow Jones Utility Average, a U.S. stock market index tracking the performance of major utility companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ^DJU
Target entity description: ^DJU is the ticker symbol for the Dow Jones Utility Average, a U.S. stock market index tracking the performance of major utility companies.
  • A. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • B. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • C. .dj
    .dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. DØ
    DØ was a major particle physics experiment at the Tevatron collider that investigated high-energy proton–antiproton collisions to study fundamental particles and forces, including detailed measurements of the top quark and searches for new physics.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae90c1b081908f851bff1dd19855 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d572c4708190844f4b1abee8ca86 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d9817b708190a3a66d40996cf2a1 completed March 27, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69c6daaa4be88190a07823df9427d2d5 completed March 27, 2026, 7:29 p.m.
Created at: March 27, 2026, 1:54 p.m.