Triple

T15145476
Position Surface form Disambiguated ID Type / Status
Subject Orange S.A. E361793 entity
Predicate tickerSymbol P1447 FINISHED
Object ORA
ORA is the stock ticker symbol for Orange S.A., a major French multinational telecommunications company.
E1140479 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: ORA | Statement: [Orange S.A., tickerSymbol, ORA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORA
Context triple: [Orange S.A., tickerSymbol, ORA]
  • A. Oracle
    Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
  • B. Oracle
    "Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
  • C. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • D. OCI
    OCI is Oracle's cloud computing platform that provides infrastructure, platform, and related services for building and running applications in the cloud.
  • E. OCI
    OCI (Open Container Initiative) is an open standard for container image formats and runtimes that ensures interoperability and consistency across container tools and platforms.
  • 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: ORA
Triple: [Orange S.A., tickerSymbol, ORA]
Generated description
ORA is the stock ticker symbol for Orange S.A., a major French multinational telecommunications company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ORA
Target entity description: ORA is the stock ticker symbol for Orange S.A., a major French multinational telecommunications company.
  • A. Oracle
    Oracle is the codename of Barbara Gordon, a former Batgirl who becomes Batman’s expert hacker and information broker after being paralyzed by the Joker.
  • B. Oracle
    "Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
  • C. OR
    OR is the official two-letter United States Postal Service abbreviation for the state of Oregon.
  • D. OCI
    OCI is Oracle's cloud computing platform that provides infrastructure, platform, and related services for building and running applications in the cloud.
  • E. OCI
    OCI (Open Container Initiative) is an open standard for container image formats and runtimes that ensures interoperability and consistency across container tools and platforms.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 3:07 a.m.