Triple

T26949683
Position Surface form Disambiguated ID Type / Status
Subject Geumjeongsan Provincial Park E678746 entity
Predicate contains P35 FINISHED
Object West Gate of Geumjeong Fortress
The West Gate of Geumjeong Fortress is a historic stone gate and cultural landmark located on Geumjeongsan Mountain in Busan, South Korea.
 E1757721 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: West Gate of Geumjeong Fortress | Statement: [Geumjeongsan Provincial Park, contains, West Gate of Geumjeong Fortress]
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: West Gate of Geumjeong Fortress
Triple: [Geumjeongsan Provincial Park, contains, West Gate of Geumjeong Fortress]
Generated description
The West Gate of Geumjeong Fortress is a historic stone gate and cultural landmark located on Geumjeongsan Mountain in Busan, South Korea.

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_69eeeb4e75f08190b14fc91ca4a91488 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6208934108190b9ae04c0ed2c4dde completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247e87cb48190af68e5c8df6dd453 completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a1248e698008190b4e1d77080b52fef completed May 24, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a1249ec94e48190acbcd83ba6d923ea completed May 24, 2026, 12:44 a.m.
Created at: April 27, 2026, 6:24 a.m.