Triple
T12881775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway Network of Pakistan |
E308112
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
N-65
N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
|
E1009796
|
NE FINISHED |
How this triple was built (4 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-65 | Statement: [National Highway Network of Pakistan, includes, N-65]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N-65 Context triple: [National Highway Network of Pakistan, includes, N-65]
-
A.
N-55
N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
-
B.
N60
N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
-
C.
N-5
N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
-
D.
N62
N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
-
E.
N6
N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: N-65 Triple: [National Highway Network of Pakistan, includes, N-65]
Generated description
N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N-65 Target entity description: N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
-
A.
N-55
N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
-
B.
N60
N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
-
C.
N-5
N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
-
D.
N62
N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
-
E.
N6
N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
- F. None of above. chosen
Provenance (5 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_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55393a88190a88c9357a6db5aec |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a6db731c819091b96c4ed6a50f19 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:39 p.m.