Triple
T23183349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Turney Stewart |
E579519
|
entity |
| Predicate | openedStore |
P151258
|
FINISHED |
| Object | dry-goods store at 283 Broadway, New York City |
—
|
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: dry-goods store at 283 Broadway, New York City | Statement: [Alexander Turney Stewart, openedStore, dry-goods store at 283 Broadway, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedStore Context triple: [Alexander Turney Stewart, openedStore, dry-goods store at 283 Broadway, New York City]
-
A.
opensShopTo
Indicates that one entity makes a shop accessible or available for another entity, typically by starting or unlocking its operation for them.
-
B.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
C.
openedAsDepartmentStore
Indicates that an entity began operation specifically in the capacity or role of a department store.
-
D.
openedAsRestaurant
Indicates that an entity began operating or was first established in the capacity or function of a restaurant.
-
E.
openedFirstHypermarket
Indicates that the subject entity was the first to open a hypermarket for the object entity or within the context specified.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f705c14819082c8580a03ed6286 |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:05 p.m.