Triple
T22466844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterbom Bali |
E555377
|
entity |
| Predicate | locatedInTouristArea |
P32586
|
FINISHED |
| Object | Kuta tourism district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Kuta tourism district | Statement: [Waterbom Bali, locatedInTouristArea, Kuta tourism district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuta tourism district Context triple: [Waterbom Bali, locatedInTouristArea, Kuta tourism district]
-
A.
Rokku entertainment district
The Rokku entertainment district was a historic pleasure and theater quarter in Tokyo’s Asakusa area, once famous for its cinemas, vaudeville, and popular entertainment before World War II.
-
B.
Juso entertainment district
The Juso entertainment district is a lively nightlife area in Osaka known for its dense concentration of izakayas, bars, pachinko parlors, and adult entertainment venues.
-
C.
Nakasu entertainment district
Nakasu entertainment district is a famous nightlife and red-light area in Fukuoka, Japan, known for its dense concentration of bars, restaurants, and entertainment venues on an island between the city’s rivers.
-
D.
Kita business district
The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
-
E.
Thaton District
Thaton District is a present-day administrative district in southeastern Myanmar, historically associated with the ancient port city of Martaban.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuta tourism district Target entity description: Kuta tourism district is a popular coastal area in Bali known for its busy beaches, nightlife, shopping, and concentration of resorts and tourist attractions.
-
A.
Rokku entertainment district
The Rokku entertainment district was a historic pleasure and theater quarter in Tokyo’s Asakusa area, once famous for its cinemas, vaudeville, and popular entertainment before World War II.
-
B.
Juso entertainment district
The Juso entertainment district is a lively nightlife area in Osaka known for its dense concentration of izakayas, bars, pachinko parlors, and adult entertainment venues.
-
C.
Nakasu entertainment district
Nakasu entertainment district is a famous nightlife and red-light area in Fukuoka, Japan, known for its dense concentration of bars, restaurants, and entertainment venues on an island between the city’s rivers.
-
D.
Kita business district
The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
-
E.
Thaton District
Thaton District is a present-day administrative district in southeastern Myanmar, historically associated with the ancient port city of Martaban.
- F. None of above. chosen
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b84e4a88190b6fbfdbd754ba1c5 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.