Triple
T9091639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire, New York |
E217899
|
entity |
| Predicate | hasLocalRoadNetwork |
P74765
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Berkshire, New York, hasLocalRoadNetwork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalRoadNetwork Context triple: [Berkshire, New York, hasLocalRoadNetwork, true]
-
A.
hasLocalRoad
Indicates that there exists a local road connection or association between the related entities.
-
B.
hasRoadNetworkType
chosen
Indicates the type or classification of road network associated with or present in an entity.
-
C.
isPublicRoadNetwork
Indicates that a given road network is officially designated for public use and accessible to the general public for transportation.
-
D.
hasRoadNetworkQuality
Indicates the assessed level or condition of the road network associated with an entity.
-
E.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965b73848190af309cd7d2f14066 |
completed | April 1, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:14 p.m.