Triple
T35838459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwood Park Township |
E1036006
|
entity |
| Predicate | hasHighwayDepartment |
P199759
|
FINISHED |
| Object | Norwood Park Township Highway Department |
—
|
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: Norwood Park Township Highway Department | Statement: [Norwood Park Township, hasHighwayDepartment, Norwood Park Township Highway Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighwayDepartment Context triple: [Norwood Park Township, hasHighwayDepartment, Norwood Park Township Highway Department]
-
A.
isPartOfHighwaySystem
Indicates that something belongs to, or is included within, a designated highway system.
-
B.
isLocatedOnHighway
Indicates that one entity is situated along, adjacent to, or directly accessible from a specific highway.
-
C.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
D.
isPrimaryStateHighway
Indicates that a given road segment is designated as a primary (major) state highway within a state’s road network.
-
E.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69ff5337e6f88190ae0418335477063c |
completed | May 9, 2026, 3:31 p.m. |
Created at: May 3, 2026, 4:06 p.m.