Triple
T13605503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decks Tokyo Beach |
E325050
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Island Mall |
E1052819
|
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: Island Mall | Statement: [Decks Tokyo Beach, hasPart, Island Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island Mall Context triple: [Decks Tokyo Beach, hasPart, Island Mall]
-
A.
Seaside Mall
chosen
Seaside Mall is a shopping and entertainment complex located within the Decks Tokyo Beach development in Tokyo’s Odaiba district.
-
B.
Limeridge Mall
Limeridge Mall is a major shopping centre in Hamilton, Ontario, featuring a wide range of retail stores, dining options, and services.
-
C.
Northshore Mall
Northshore Mall is a large regional shopping center located in Peabody, Massachusetts, featuring a wide variety of retail stores, dining options, and services.
-
D.
Southridge Mall
Southridge Mall is a major regional shopping center located in Greendale, Wisconsin, featuring a wide variety of retail stores, dining options, and services.
-
E.
Lone Pine Mall
Lone Pine Mall is the fictional shopping center in the Back to the Future films where Marty McFly first encounters Doc Brown’s time-traveling DeLorean.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07e442c819086a8cbb967c03ad3 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942c7f948190a62a8d2f69262ef3 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:50 p.m.