Triple
T24566979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujikyuko Line |
E607816
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object |
JR East E353 series (through service)
The JR East E353 series (through service) is a modern limited express electric multiple unit train that operates directly between JR East lines and the Fujikyuko Line, providing seamless interline passenger service to the Mount Fuji area.
|
E1642850
|
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: JR East E353 series (through service) | Statement: [Fujikyuko Line, hasRollingStock, JR East E353 series (through service)]
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: JR East E353 series (through service) Triple: [Fujikyuko Line, hasRollingStock, JR East E353 series (through service)]
Generated description
The JR East E353 series (through service) is a modern limited express electric multiple unit train that operates directly between JR East lines and the Fujikyuko Line, providing seamless interline passenger service to the Mount Fuji area.
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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a92141f88190bcbd7c6aeafc0725 |
completed | April 30, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff86ac708819080193f2fed7c8646 |
completed | May 22, 2026, 6:32 a.m. |
| NEDg | Description generation | batch_6a0ffac4cec08190a58c4abdfdb4b4f3 |
completed | May 22, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ffb28df388190ae3780b78c7c04c8 |
completed | May 22, 2026, 6:43 a.m. |
Created at: April 18, 2026, 2:28 a.m.