Triple
T12618374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakhisarai |
E301313
|
entity |
| Predicate | hasNationalHighwayConnectivity |
P92228
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lakhisarai, hasNationalHighwayConnectivity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalHighwayConnectivity Context triple: [Lakhisarai, hasNationalHighwayConnectivity, yes]
-
A.
nationalHighwayConnectivity
chosen
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
-
B.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
-
C.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
D.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
E.
containsStateHighway
Indicates that a geographic area or region includes within its boundaries at least one designated state highway.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:13 p.m.