Triple
T29661592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias & Co. |
E750420
|
entity |
| Predicate | isMajorStoreIn |
P184858
|
FINISHED |
| Object | Disney California Adventure |
—
|
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: Disney California Adventure | Statement: [Elias & Co., isMajorStoreIn, Disney California Adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorStoreIn Context triple: [Elias & Co., isMajorStoreIn, Disney California Adventure]
-
A.
isLargestShopOn
Indicates that a shop is the largest (by a specified measure, such as area, sales, or inventory) among all shops located on a particular street or area.
-
B.
isRegionalMall
Indicates that a shopping mall is classified as a regional mall, typically serving a broad geographic area with a wide range of stores and services.
-
C.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
D.
isIndoorMall
Indicates that a shopping mall is located indoors, typically enclosed within a single building or connected interior space.
-
E.
isShoppingDestination
Indicates that a place serves as a primary location where people go to shop for goods or services.
- F. None of above. chosen
Provenance (4 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 28, 2026, 6:58 p.m.