Triple
T19497975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-DA World |
E487823
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | E-DA Outlet Mall |
—
|
NE NERFINISHED |
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: E-DA Outlet Mall | Statement: [E-DA World, hasPart, E-DA Outlet Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-DA Outlet Mall Context triple: [E-DA World, hasPart, E-DA Outlet Mall]
-
A.
E-DA Outlet Mall
chosen
E-DA Outlet Mall is a large shopping and entertainment complex in Taiwan known for its extensive outlet stores, dining options, and family-friendly attractions.
-
B.
Aeon Mall
Aeon Mall is a Japanese chain of large-scale shopping malls offering a wide range of retail, dining, and entertainment facilities across Asia.
-
C.
Lachic shopping mall
Lachic shopping mall is a major upscale shopping and lifestyle complex located in the Sakae district of Nagoya, Japan.
-
D.
Star Mega Mall
Star Mega Mall is a major modern shopping complex in Sibu, Malaysia, featuring a wide range of retail, dining, and entertainment options.
-
E.
Mega City Mall
Mega City Mall is a large modern shopping and entertainment complex located in Banqiao District, New Taipei City, Taiwan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63493232881909fc33fb84da3e1b5 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.