Triple

T10608218
Position Surface form Disambiguated ID Type / Status
Subject EuropaCorp E275931 entity
Predicate tickerSymbol P1447 FINISHED
Object ECP
ECP is the stock ticker symbol for EuropaCorp, a French film studio and production company founded by filmmaker Luc Besson.
 E874216 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: ECP | Statement: [EuropaCorp, tickerSymbol, ECP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECP
Context triple: [EuropaCorp, tickerSymbol, ECP]
  • A. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • B. ECP
    ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
  • C. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • D. ECPD
    ECPD is the former name of ABET, the primary U.S. organization responsible for accrediting college and university programs in applied science, computing, engineering, and engineering technology.
  • E. EPC
    EPC (Evolved Packet Core) is the all-IP mobile core network architecture defined by 3GPP for 4G LTE systems, enabling high-speed data, voice, and multimedia services.
  • 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: ECP
Triple: [EuropaCorp, tickerSymbol, ECP]
Generated description
ECP is the stock ticker symbol for EuropaCorp, a French film studio and production company founded by filmmaker Luc Besson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECP
Target entity description: ECP is the stock ticker symbol for EuropaCorp, a French film studio and production company founded by filmmaker Luc Besson.
  • A. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • B. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • C. ECP
    ECP is a commercial airport serving the Panama City, Florida area and the surrounding Gulf Coast region.
  • D. ECPD
    ECPD is the former name of ABET, the primary U.S. organization responsible for accrediting college and university programs in applied science, computing, engineering, and engineering technology.
  • E. EPC
    EPC (Evolved Packet Core) is the all-IP mobile core network architecture defined by 3GPP for 4G LTE systems, enabling high-speed data, voice, and multimedia services.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4c38c881908f69bb757b8e03f5 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f81955c8190b629d57a034a4b76 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d961047a78819088094e02c0b99f60 completed April 10, 2026, 8:43 p.m.
Created at: April 8, 2026, 7:32 p.m.