Triple

T4215251
Position Surface form Disambiguated ID Type / Status
Subject Riau E94198 entity
Predicate hasPort P35 FINISHED
Object Dumai
Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
E422044 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: Dumai | Statement: [Riau, hasPort, Dumai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumai
Context triple: [Riau, hasPort, Dumai]
  • A. Padang Dinka
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • B. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • C. Putussibau
    Putussibau is a remote town in West Kalimantan, Indonesia, serving as an administrative and gateway center to the interior rainforests and upriver communities of Borneo.
  • D. Dumalag
    Dumalag is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its rural landscapes and small-town character.
  • E. Phek
    Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
  • 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: Dumai
Triple: [Riau, hasPort, Dumai]
Generated description
Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dumai
Target entity description: Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
  • A. Padang Dinka
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • B. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • C. Putussibau
    Putussibau is a remote town in West Kalimantan, Indonesia, serving as an administrative and gateway center to the interior rainforests and upriver communities of Borneo.
  • D. Dumalag
    Dumalag is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its rural landscapes and small-town character.
  • E. Phek
    Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be8ba408190baee362e5abbe75b completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963779d08190a95eb110361bf1f1 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b597f5ec8481909408b6b49994bbe8 completed March 14, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69b5985c8f6081909c479e89bc1ca449 completed March 14, 2026, 5:18 p.m.
Created at: March 12, 2026, 11:04 p.m.