Triple
T3543644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Holdings Corporation |
E74943
|
entity |
| Predicate | peakStoreCount |
P8902
|
FINISHED |
| Object | over 3500 stores |
—
|
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: over 3500 stores | Statement: [Sears Holdings Corporation, peakStoreCount, over 3500 stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakStoreCount Context triple: [Sears Holdings Corporation, peakStoreCount, over 3500 stores]
-
A.
benchCount
Indicates the number of benches associated with a given entity or location.
-
B.
numberOfStores
chosen
Indicates the total count of stores associated with a given entity or context.
-
C.
collectionSize
Indicates the total number of items contained within a specified collection.
-
D.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
E.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.