Triple
T13316555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harukas 300 |
E317201
|
entity |
| Predicate | hasNameComponent |
P24447
|
FINISHED |
| Object |
Harukas
Harukas is a Japanese given name and term often associated with brightness, clarity, or springtime, and is notably used in the name of the Abeno Harukas skyscraper in Osaka.
|
E1033533
|
NE FINISHED |
How this triple was built (4 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: Harukas | Statement: [Harukas 300, hasNameComponent, Harukas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harukas Context triple: [Harukas 300, hasNameComponent, Harukas]
-
A.
Gokurakubashi
Gokurakubashi is a railway station in Wakayama Prefecture, Japan, serving as the gateway to Mount Koya and its famous Buddhist temple complex.
-
B.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
C.
Takamagahara
Takamagahara is the heavenly realm in Shinto mythology, home of the kami and the divine seat of celestial authority.
-
D.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
E.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Harukas Triple: [Harukas 300, hasNameComponent, Harukas]
Generated description
Harukas is a Japanese given name and term often associated with brightness, clarity, or springtime, and is notably used in the name of the Abeno Harukas skyscraper in Osaka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harukas Target entity description: Harukas is a Japanese given name and term often associated with brightness, clarity, or springtime, and is notably used in the name of the Abeno Harukas skyscraper in Osaka.
-
A.
Gokurakubashi
Gokurakubashi is a railway station in Wakayama Prefecture, Japan, serving as the gateway to Mount Koya and its famous Buddhist temple complex.
-
B.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
C.
Takamagahara
Takamagahara is the heavenly realm in Shinto mythology, home of the kami and the divine seat of celestial authority.
-
D.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
E.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
- F. None of above. chosen
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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f9a384819085890e18255ee339 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ec2ec08190a6e37795b422fe71 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717d953b48190954b86c41ff34c07 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:29 p.m.