Triple
T36071980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enoshima Electric Railway Line |
E1043391
|
entity |
| Predicate | primaryRollingStock |
P1305
|
FINISHED |
| Object |
Enoden 500 series EMU
The Enoden 500 series EMU is a vintage-style electric multiple unit train operated by Enoshima Electric Railway, known for serving the scenic coastal route between Kamakura and Fujisawa in Kanagawa Prefecture, Japan.
|
E2183231
|
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: Enoden 500 series EMU | Statement: [Enoshima Electric Railway Line, primaryRollingStock, Enoden 500 series EMU]
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: Enoden 500 series EMU Triple: [Enoshima Electric Railway Line, primaryRollingStock, Enoden 500 series EMU]
Generated description
The Enoden 500 series EMU is a vintage-style electric multiple unit train operated by Enoshima Electric Railway, known for serving the scenic coastal route between Kamakura and Fujisawa in Kanagawa Prefecture, Japan.
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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b21e8f908190b2370401071202ad |
completed | May 3, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39c3df0c348190ab42aa3a7fc1b47b |
completed | June 22, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_6a39c4b2bf5c819082087f442c325927 |
completed | June 22, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39c5c24c148190b5cce41203d557a1 |
completed | June 22, 2026, 11:31 p.m. |
Created at: May 3, 2026, 4:08 p.m.