Triple

T5853713
Position Surface form Disambiguated ID Type / Status
Subject Çanakkale 1915 Bridge E130098 entity
Predicate designedBy P184 FINISHED
Object DL E&C
DL E&C is a South Korean engineering and construction company known for executing large-scale infrastructure and industrial projects worldwide.
 E550249 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: DL E&C | Statement: [Çanakkale 1915 Bridge, designedBy, DL E&C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DL E&C
Context triple: [Çanakkale 1915 Bridge, designedBy, DL E&C]
  • A. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • B. Erlecom
    Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. ECL
    ECL is the commonly used abbreviation for the Eastern Colored League, a prominent early 20th-century Negro league baseball organization in the United States.
  • 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: DL E&C
Triple: [Çanakkale 1915 Bridge, designedBy, DL E&C]
Generated description
DL E&C is a South Korean engineering and construction company known for executing large-scale infrastructure and industrial projects worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DL E&C
Target entity description: DL E&C is a South Korean engineering and construction company known for executing large-scale infrastructure and industrial projects worldwide.
  • A. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • B. Erlecom
    Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. ECL
    ECL is the commonly used abbreviation for the Eastern Colored League, a prominent early 20th-century Negro league baseball organization in the United States.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a30d66088190b6e37a95527b273d completed March 23, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69c0a364931c81908d595d74cb4f9a7b completed March 23, 2026, 2:20 a.m.
Created at: March 22, 2026, 3:55 p.m.