Triple
T16814335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daikanyama Station |
E408700
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hillside Terrace |
E93537
|
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: Hillside Terrace | Statement: [Daikanyama Station, near, Hillside Terrace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hillside Terrace Context triple: [Daikanyama Station, near, Hillside Terrace]
-
A.
Hillside Terrace
chosen
Hillside Terrace is a renowned multi-phase residential and commercial complex in Tokyo, celebrated as one of Fumihiko Maki’s seminal works in modern Japanese architecture.
-
B.
Lakeside Terrace
Lakeside Terrace is a prominent outdoor public space within London’s Barbican Estate, overlooking its central lake and serving as a key venue for leisure and cultural events.
-
C.
Linden Terrace
Linden Terrace is a scenic stone terrace and overlook in Fort Tryon Park in Upper Manhattan, offering expansive views of the Hudson River and surrounding landscapes.
-
D.
Riverside Heights
Riverside Heights is a small community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Hillcrest
Hillcrest is a residential neighbourhood in Toronto, Ontario, known for its tree-lined streets, family-friendly character, and convenient access to local shops and transit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2946ddc81908b1e7c662dc943ff |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.