Triple
T24186932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hershey’s Chocolate World |
E599581
|
entity |
| Predicate | hasFlagshipLocation |
P43978
|
FINISHED |
| Object | Hershey, Pennsylvania |
—
|
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: Hershey, Pennsylvania | Statement: [Hershey’s Chocolate World, hasFlagshipLocation, Hershey, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagshipLocation Context triple: [Hershey’s Chocolate World, hasFlagshipLocation, Hershey, Pennsylvania]
-
A.
hasFlagshipIn
chosen
Indicates that an entity designates a particular location or branch as its primary or flagship presence.
-
B.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
C.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
D.
hasFlagshipType
Indicates that an entity has a primary or leading type within a set of related types.
-
E.
flagshipStoreLocation
Indicates the location where an organization’s primary or most prominent store is situated.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.