Triple

T184905
Position Surface form Disambiguated ID Type / Status
Subject Java E3958 entity
Predicate hasMajorPort P942 FINISHED
Object Tanjung Perak
Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
E23683 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: Tanjung Perak | Statement: [Java, hasMajorPort, Tanjung Perak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanjung Perak
Context triple: [Java, hasMajorPort, Tanjung Perak]
  • A. Tanjung Priok
    Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
  • B. Borneo
    Borneo is the world’s third-largest island in Southeast Asia, known for its vast rainforests, rich biodiversity, and division among Indonesia, Malaysia, and Brunei.
  • C. Batticaloa
    Batticaloa is a coastal city in eastern Sri Lanka known historically as an important regional port and trading center.
  • D. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • E. Malaysia
    Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
  • 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: Tanjung Perak
Triple: [Java, hasMajorPort, Tanjung Perak]
Generated description
Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tanjung Perak
Target entity description: Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
  • A. Tanjung Priok
    Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
  • B. Borneo
    Borneo is the world’s third-largest island in Southeast Asia, known for its vast rainforests, rich biodiversity, and division among Indonesia, Malaysia, and Brunei.
  • C. Batticaloa
    Batticaloa is a coastal city in eastern Sri Lanka known historically as an important regional port and trading center.
  • D. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • E. Malaysia
    Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592867108190b5d316c055575449 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30285b0488190aaa9634bc9168c4c completed Feb. 28, 2026, 2:58 p.m.
NEDg Description generation batch_69a303db62348190a1939b9203f0ea0a completed Feb. 28, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69a30453546881908b46ee22696f618f completed Feb. 28, 2026, 3:05 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.