Triple
T12014193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Dome City |
E285981
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
LaQua
LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
|
E960674
|
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: LaQua | Statement: [Tokyo Dome City, hasPart, LaQua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaQua Context triple: [Tokyo Dome City, hasPart, LaQua]
-
A.
Dasani
Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Coolaid
Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
-
D.
Gala Water
Gala Water is a river in the Scottish Borders that flows through the town of Galashiels before joining the River Tweed.
-
E.
Sierra Mist
Sierra Mist is a lemon-lime flavored soft drink brand produced by PepsiCo as a competitor to Sprite and 7UP.
- 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: LaQua Triple: [Tokyo Dome City, hasPart, LaQua]
Generated description
LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LaQua Target entity description: LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
-
A.
Dasani
Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
-
B.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
C.
Coolaid
Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
-
D.
Gala Water
Gala Water is a river in the Scottish Borders that flows through the town of Galashiels before joining the River Tweed.
-
E.
Sierra Mist
Sierra Mist is a lemon-lime flavored soft drink brand produced by PepsiCo as a competitor to Sprite and 7UP.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b4535f48190ac5b2cabb4daf4af |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f490cb9328819095481a4d0fb0c625 |
completed | May 1, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:46 p.m.