Triple

T30709104
Position Surface form Disambiguated ID Type / Status
Subject Regency of Asahan E781840 entity
Predicate borderedBy P224 FINISHED
Object Regency of Batubara
Regency of Batubara is an administrative regency in North Sumatra, Indonesia, known for its coastal location along the Malacca Strait and its role in regional agriculture and maritime trade.
E1933919 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: Regency of Batubara | Statement: [Regency of Asahan, borderedBy, Regency of Batubara]
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: Regency of Batubara
Triple: [Regency of Asahan, borderedBy, Regency of Batubara]
Generated description
Regency of Batubara is an administrative regency in North Sumatra, Indonesia, known for its coastal location along the Malacca Strait and its role in regional agriculture and maritime trade.

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_69f224abfcf081909492e64d3cc35262 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c1d1df48190ae60d38dee2c5b62 completed May 2, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbca45888190b684d3f2cdf1ba5b completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bde273288190a81a02ea796ca603 completed June 10, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_6a28bed6aa2c819099259e4b892b8af3 completed June 10, 2026, 1:33 a.m.
Created at: April 29, 2026, 8:35 p.m.