Triple
T24704147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jangsaengpo Port |
E611840
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Jangsaengpo Whale Festival
The Jangsaengpo Whale Festival is an annual cultural event in Ulsan, South Korea, celebrating the region’s whaling heritage with marine-themed performances, exhibitions, and local seafood.
|
E1647623
|
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: Jangsaengpo Whale Festival | Statement: [Jangsaengpo Port, knownFor, Jangsaengpo Whale Festival]
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: Jangsaengpo Whale Festival Triple: [Jangsaengpo Port, knownFor, Jangsaengpo Whale Festival]
Generated description
The Jangsaengpo Whale Festival is an annual cultural event in Ulsan, South Korea, celebrating the region’s whaling heritage with marine-themed performances, exhibitions, and local seafood.
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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f40ff2474c819094f5bc2c9ce7e80b |
completed | May 1, 2026, 2:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10100bfc2c8190a197cdea1521b910 |
completed | May 22, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a10136b70f4819096d05c3f3fed09c2 |
completed | May 22, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10145c05c88190a29367197865506c |
completed | May 22, 2026, 8:31 a.m. |
Created at: April 18, 2026, 3:23 a.m.