Triple

T15428436
Position Surface form Disambiguated ID Type / Status
Subject Syamsudin Noor International Airport E369572 entity
Predicate locatedNear P294 FINISHED
Object Banjarbaru E841832 NE FINISHED

How this triple was built (2 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: Banjarbaru | Statement: [Syamsudin Noor International Airport, locatedNear, Banjarbaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banjarbaru
Context triple: [Syamsudin Noor International Airport, locatedNear, Banjarbaru]
  • A. Banjarbaru chosen
    Banjarbaru is a rapidly developing city in Indonesia that serves as the capital and administrative center of South Kalimantan province on the island of Borneo.
  • B. Martapura
    Martapura is a prominent town in Indonesia’s South Kalimantan province, known as a center for Islamic education and its traditional diamond and gemstone markets.
  • C. Banjarmasin
    Banjarmasin is a major riverine city in South Kalimantan, Indonesia, known for its historic floating markets and strategic location on the island of Borneo.
  • D. Palembang
    Palembang is a major Indonesian city on the island of Sumatra, historically known as the center of the Srivijaya maritime empire and now an important economic and cultural hub.
  • E. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa121f814819096a69cf5ef0003ee completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 3:20 a.m.