Triple
T7856473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-1 Motorway (via Islamabad) |
E182387
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
M-1
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
|
E700826
|
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: M-1 | Statement: [M-1 Motorway (via Islamabad), roadNumber, M-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-1 Context triple: [M-1 Motorway (via Islamabad), roadNumber, M-1]
-
A.
M-1
M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
-
B.
M1
M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
-
C.
M1
M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
-
D.
M1
M1 is a major motorway in New South Wales, Australia, forming a key part of the coastal route between Sydney and the state's northern and southern regions.
-
E.
M1
M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
- 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: M-1 Triple: [M-1 Motorway (via Islamabad), roadNumber, M-1]
Generated description
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-1 Target entity description: M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
-
A.
M-1
M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
-
B.
M1
M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
-
C.
M1
M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
-
D.
M1
M1 is a major motorway in New South Wales, Australia, forming a key part of the coastal route between Sydney and the state's northern and southern regions.
-
E.
M1
M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a75de548190af5653409a3b3881 |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b2e2980819083369668938bae9c |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762fda2c81908ed508e12cabb938 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf706e888190bfd08d9d78945c49 |
completed | March 31, 2026, 12:34 p.m. |
Created at: March 30, 2026, 4:52 p.m.