Triple
T32382480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobu Tower Skytree Co., Ltd. |
E827458
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Tokyo Skytree Tembo Galleria
Tokyo Skytree Tembo Galleria is the highest observation deck of Tokyo Skytree, featuring a spiraling glass corridor that offers panoramic views of Tokyo from near the top of the tower.
|
E2003856
|
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: Tokyo Skytree Tembo Galleria | Statement: [Tobu Tower Skytree Co., Ltd., operates, Tokyo Skytree Tembo Galleria]
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: Tokyo Skytree Tembo Galleria Triple: [Tobu Tower Skytree Co., Ltd., operates, Tokyo Skytree Tembo Galleria]
Generated description
Tokyo Skytree Tembo Galleria is the highest observation deck of Tokyo Skytree, featuring a spiraling glass corridor that offers panoramic views of Tokyo from near the top of the tower.
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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1ccf26c8190bb23c288a91cf08a |
completed | May 3, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8b9c2f08190b77561680aff02d9 |
completed | June 18, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a33ea4c34688190b92a5cc87b56bd08 |
completed | June 18, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a342cb4168c8190bdbf08ddae3d6811 |
completed | June 18, 2026, 5:36 p.m. |
Created at: May 1, 2026, 12:51 a.m.