Triple
T24954483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow House, Pennsylvania |
E624431
|
entity |
| Predicate | locatedAtRoadJunction |
P15085
|
FINISHED |
| Object | Pennsylvania Route 562 |
—
|
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: Pennsylvania Route 562 | Statement: [Yellow House, Pennsylvania, locatedAtRoadJunction, Pennsylvania Route 562]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtRoadJunction Context triple: [Yellow House, Pennsylvania, locatedAtRoadJunction, Pennsylvania Route 562]
-
A.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
-
B.
locatedAtIntersectionOf
chosen
Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
-
C.
placesAtForkJunction
Indicates that one entity is located or positioned at a fork junction where a path or route splits into multiple branches.
-
D.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
E.
locatedOnRouteTo
Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 5:57 a.m.