Triple
T27455348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otemachi Station |
E692574
|
entity |
| Predicate | connectsToArea |
P845
|
FINISHED |
| Object |
Otemachi underground pedestrian network
The Otemachi underground pedestrian network is an extensive system of subterranean walkways in central Tokyo that links multiple subway stations, office complexes, and commercial facilities, allowing people to move around the Otemachi business district without going above ground.
|
E1772347
|
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: Otemachi underground pedestrian network | Statement: [Otemachi Station, connectsToArea, Otemachi underground pedestrian network]
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: Otemachi underground pedestrian network Triple: [Otemachi Station, connectsToArea, Otemachi underground pedestrian network]
Generated description
The Otemachi underground pedestrian network is an extensive system of subterranean walkways in central Tokyo that links multiple subway stations, office complexes, and commercial facilities, allowing people to move around the Otemachi business district without going above ground.
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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dc9640c8190a2ee0c235212faee |
completed | May 2, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12b26320648190820954ada6c6244a |
completed | May 24, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_6a12b3d5fee88190ac3967d51bd879a3 |
completed | May 24, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12b456bad48190b232cd4968f2b041 |
completed | May 24, 2026, 8:18 a.m. |
Created at: April 27, 2026, 12:48 p.m.