Triple

T18768836
Position Surface form Disambiguated ID Type / Status
Subject Doraleh Container Terminal E458960 entity
Predicate locatedIn P40 FINISHED
Object Doraleh
Doraleh is a coastal area of Djibouti City that hosts major port and container terminal facilities central to the country’s maritime trade.
E1341481 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: Doraleh | Statement: [Doraleh Container Terminal, locatedIn, Doraleh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doraleh
Context triple: [Doraleh Container Terminal, locatedIn, Doraleh]
  • A. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • D. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • E. Sissala
    Sissala are an ethnic group of northwestern Ghana, known for their distinct Gur language, agrarian lifestyle, and rich musical and oral traditions.
  • 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: Doraleh
Triple: [Doraleh Container Terminal, locatedIn, Doraleh]
Generated description
Doraleh is a coastal area of Djibouti City that hosts major port and container terminal facilities central to the country’s maritime trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doraleh
Target entity description: Doraleh is a coastal area of Djibouti City that hosts major port and container terminal facilities central to the country’s maritime trade.
  • A. Dorraine
    Dorraine is an alternate given name of Vivian Liberto, best known as the first wife of country music legend Johnny Cash.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • D. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • E. Sissala
    Sissala are an ethnic group of northwestern Ghana, known for their distinct Gur language, agrarian lifestyle, and rich musical and oral traditions.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d867264819098ae35c9feab3bb4 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d450c8081908e44744a63e15fc3 completed May 14, 2026, 3:11 a.m.
NEDg Description generation batch_6a053e7376ec8190950881d90d9fa567 completed May 14, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a053ef3600881908e39a4abe4e032e8 completed May 14, 2026, 3:18 a.m.
Created at: April 10, 2026, 11:52 a.m.