Triple
T25721166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highways Development Project |
E644997
|
entity |
| Predicate | typeOfRoads |
P1019
|
FINISHED |
| Object | four-lane highways |
—
|
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: four-lane highways | Statement: [National Highways Development Project, typeOfRoads, four-lane highways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRoads Context triple: [National Highways Development Project, typeOfRoads, four-lane highways]
-
A.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
isSurfaceRoad
Indicates that a road segment is a surface-level street (not a highway, freeway, or limited-access road).
-
C.
roadTypeAtSquare
Indicates the specific type or classification of road present at a given square or location in a spatial grid or map.
-
D.
roadNumberType
Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
-
E.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 21, 2026, 9:59 p.m.