Triple
T38436183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | amNewYork |
E903948
|
entity |
| Predicate | typicalDistributionLocation |
—
|
GENERATED |
| Object | subway stations |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDistributionLocation Context triple: [amNewYork, typicalDistributionLocation, subway stations]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
C.
typicalDistricts
Indicates that certain districts are characteristic or representative examples of a larger region, category, or entity.
-
D.
previousTypicalLocation
Indicates that an entity was most commonly or characteristically located at a particular place in the past, before its current or later typical location.
-
E.
oftenLocatedAt
chosen
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
- F. None of above.
Provenance (1 batch)
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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.