Triple
T10223313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mancherial district |
E242635
|
entity |
| Predicate | highwayConnectivity |
P385
|
FINISHED |
| Object | connected by national and state 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: connected by national and state highways | Statement: [Mancherial district, highwayConnectivity, connected by national and state highways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highwayConnectivity Context triple: [Mancherial district, highwayConnectivity, connected by national and state highways]
-
A.
nationalHighwayConnectivity
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
-
B.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
C.
motorwayServedBy
Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
-
D.
hasMajorHighway
chosen
Indicates that a location or area is served by or directly connected to a major highway route.
-
E.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa8305e481908ee1fc1d9eda6fa0 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:10 a.m.