Triple
T38657647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyobashi Station (Keihan) |
E939935
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Nakanoshima Line through services
Nakanoshima Line through services are direct Keihan Railway train operations that continue between the main Keihan lines and the Nakanoshima Line without requiring passengers to transfer.
|
E2281160
|
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: Nakanoshima Line through services | Statement: [Kyobashi Station (Keihan), connectsTo, Nakanoshima Line through services]
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: Nakanoshima Line through services Triple: [Kyobashi Station (Keihan), connectsTo, Nakanoshima Line through services]
Generated description
Nakanoshima Line through services are direct Keihan Railway train operations that continue between the main Keihan lines and the Nakanoshima Line without requiring passengers to transfer.
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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdbe9aa608190a646b88338cf52cc |
completed | May 7, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4205ba2228819085cf5961574213e2 |
completed | June 29, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_6a4206c5417481909b8911ba28f91bf5 |
completed | June 29, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a420754d65c8190910f5dfb5074fd3f |
completed | June 29, 2026, 5:49 a.m. |
Created at: May 3, 2026, 4:33 p.m.