Triple
T12881783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway Network of Pakistan |
E308112
|
entity |
| Predicate | routeCodeFormat |
P21547
|
FINISHED |
| Object | N-xx |
—
|
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: N-xx | Statement: [National Highway Network of Pakistan, routeCodeFormat, N-xx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeCodeFormat Context triple: [National Highway Network of Pakistan, routeCodeFormat, N-xx]
-
A.
routeNumberFormat
chosen
Indicates how the identifying number or code for a route is structured or formatted.
-
B.
routeSymbol
Indicates that a particular symbol or code is used to represent or identify a specific route.
-
C.
routeNumberSignedAs
Indicates that a route is officially signed or labeled with a particular route number on physical or digital signage.
-
D.
routeSegment
Indicates a specific portion of a larger route that directly connects two points or locations within that route.
-
E.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.