Triple
T28375584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarge's Surplus Hut |
E718746
|
entity |
| Predicate | isMerchandiseLocationFor |
P100211
|
FINISHED |
| Object | Cars Land attractions |
—
|
LITERAL 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: Cars Land attractions | Statement: [Sarge's Surplus Hut, isMerchandiseLocationFor, Cars Land attractions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMerchandiseLocationFor Context triple: [Sarge's Surplus Hut, isMerchandiseLocationFor, Cars Land attractions]
-
A.
hasStoreLocation
chosen
Indicates that an entity operates or maintains a store at a specified physical location.
-
B.
isPhysicalLocation
Indicates that one entity serves as a physical, real-world place or site associated with another entity.
-
C.
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.
-
D.
isShoppingDestination
Indicates that a place serves as a primary location where people go to shop for goods or services.
-
E.
hasPhysicalLocationType
Indicates that an entity is associated with a specific kind or category of physical location (e.g., building type, facility type, or place type).
- F. None of above.
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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5e2f8c81909622f2f7e2093295 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:03 a.m.