Triple
T1598643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Disney Resort |
E34340
|
entity |
| Predicate | hasShoppingDistrict |
P4285
|
FINISHED |
| Object |
Ikspiari
Ikspiari is a themed shopping, dining, and entertainment complex located at Tokyo Disney Resort in Urayasu, Japan.
|
E181675
|
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: Ikspiari | Statement: [Tokyo Disney Resort, hasShoppingDistrict, Ikspiari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikspiari Context triple: [Tokyo Disney Resort, hasShoppingDistrict, Ikspiari]
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Mytikas
Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
-
C.
Entissar
Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
-
D.
Uspantek
Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
-
E.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
- 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: Ikspiari Triple: [Tokyo Disney Resort, hasShoppingDistrict, Ikspiari]
Generated description
Ikspiari is a themed shopping, dining, and entertainment complex located at Tokyo Disney Resort in Urayasu, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikspiari Target entity description: Ikspiari is a themed shopping, dining, and entertainment complex located at Tokyo Disney Resort in Urayasu, Japan.
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Mytikas
Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
-
C.
Entissar
Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
-
D.
Uspantek
Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
-
E.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90948ddb08190a6fc0597198a7946 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a848ec819085c82be8eaea2044 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4841d278819085507528faeaae3e |
completed | March 8, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48ff11d881909fd6e9e40d5f1f38 |
completed | March 8, 2026, 10:01 a.m. |
Created at: March 4, 2026, 7:27 p.m.