Triple
T27296068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 990 |
E688766
|
entity |
| Predicate | isFullyWithin |
P123563
|
FINISHED |
| Object | Erie County, New York |
—
|
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: Erie County, New York | Statement: [Interstate 990, isFullyWithin, Erie County, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFullyWithin Context triple: [Interstate 990, isFullyWithin, Erie County, New York]
-
A.
regionContains
chosen
Indicates that one region spatially encompasses or includes another region within its boundaries.
-
B.
hasBoundaryIncludes
Indicates that the spatial or conceptual boundary of one entity encompasses or contains the boundary of another entity.
-
C.
coversFully
Indicates that one entity completely and without gaps encloses, spans, or occupies the extent of another entity.
-
D.
isWithinStructure
Indicates that one entity is located inside the physical or logical boundaries of another structure.
-
E.
containsPoint
Indicates that a geometric region or shape includes a given point within its boundaries.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6277ff9848190958c203e511b1393 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:18 a.m.