Triple
T24500874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Metropolitan City authorities |
E617927
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Busan Fire and Disaster Headquarters
Busan Fire and Disaster Headquarters is the primary emergency response and fire safety agency responsible for firefighting, rescue, and disaster management across Busan, South Korea.
|
E1639501
|
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: Busan Fire and Disaster Headquarters | Statement: [Busan Metropolitan City authorities, hasPart, Busan Fire and Disaster Headquarters]
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: Busan Fire and Disaster Headquarters Triple: [Busan Metropolitan City authorities, hasPart, Busan Fire and Disaster Headquarters]
Generated description
Busan Fire and Disaster Headquarters is the primary emergency response and fire safety agency responsible for firefighting, rescue, and disaster management across 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a800d9a88190b5970784a3f03ab8 |
completed | April 30, 2026, 12:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fee874cd081908bfdc0bb7dc4d02c |
completed | May 22, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_6a0fefe9541481909d7dbd79fdf1ef92 |
completed | May 22, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ff0cc90508190b5d68bedeb4531aa |
completed | May 22, 2026, 5:59 a.m. |
Created at: April 18, 2026, 2:23 a.m.