Triple

T4722597
Position Surface form Disambiguated ID Type / Status
Subject Geelong E104803 entity
Predicate aboriginalName P1966 FINISHED
Object Djilang
Djilang is the traditional Aboriginal name for the area now known as Geelong, a coastal city in Victoria, Australia.
E464941 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: Djilang | Statement: [Geelong, aboriginalName, Djilang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djilang
Context triple: [Geelong, aboriginalName, Djilang]
  • A. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • B. Tumpang
    Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. Mukawir
    Mukawir is a modern Jordanian village best known as the site of the ancient hilltop fortress of Machaerus, traditionally associated with the imprisonment and execution of John the Baptist.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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: Djilang
Triple: [Geelong, aboriginalName, Djilang]
Generated description
Djilang is the traditional Aboriginal name for the area now known as Geelong, a coastal city in Victoria, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Djilang
Target entity description: Djilang is the traditional Aboriginal name for the area now known as Geelong, a coastal city in Victoria, Australia.
  • A. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • B. Tumpang
    Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. Mukawir
    Mukawir is a modern Jordanian village best known as the site of the ancient hilltop fortress of Machaerus, traditionally associated with the imprisonment and execution of John the Baptist.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642b82008190bb70dd60a4149502 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1094fd9c81909e12723394f9ae0a completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be12b1c9088190bb6b307bfc46b75c completed March 21, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69be1318d494819084fac7c6d16db4e5 completed March 21, 2026, 3:40 a.m.
Created at: March 20, 2026, 1:18 p.m.