Triple
T23040993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiana Mall |
E573733
|
entity |
| Predicate | hasAnchorStore |
P61394
|
FINISHED |
| Object | Cabela's |
—
|
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: Cabela's | Statement: [Christiana Mall, hasAnchorStore, Cabela's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabela's Context triple: [Christiana Mall, hasAnchorStore, Cabela's]
-
A.
Cabela's
chosen
Cabela's is a major American retail chain specializing in hunting, fishing, camping, and outdoor recreation gear.
-
B.
Gander Outdoors
Gander Outdoors is an American retail chain specializing in outdoor gear, camping equipment, and recreational products.
-
C.
Pine Outfitters
Pine Outfitters is a fashion and lifestyle brand founded by Daniel Neeson, known for its modern, outdoors-inspired apparel and accessories.
-
D.
REI
REI (Recreational Equipment, Inc.) is a U.S.-based consumer cooperative and major outdoor retail chain specializing in gear and apparel for activities like camping, hiking, climbing, and cycling.
-
E.
REI
REI is the National Rail station code for Reigate railway station in Surrey, England.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18513fc54819096d761a0be75b774 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.