Triple
T33093492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slinky |
E846845
|
entity |
| Predicate | wasFirstDemonstratedAt |
P1588
|
FINISHED |
| Object | Gimbels department store, Philadelphia |
—
|
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: Gimbels department store, Philadelphia | Statement: [Slinky, wasFirstDemonstratedAt, Gimbels department store, Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstDemonstratedAt Context triple: [Slinky, wasFirstDemonstratedAt, Gimbels department store, Philadelphia]
-
A.
firstDemonstrated
chosen
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
B.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
C.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
D.
demonstrationDate
Indicates the date on which a demonstration or protest event takes place or is scheduled to occur.
-
E.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:26 a.m.