Triple
T16808450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A9 |
E408538
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object |
Sion junctions
Sion junctions is a major road intersection complex in Mumbai, India, where several key arterial routes converge, including the A9 corridor.
|
E1234888
|
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: Sion junctions | Statement: [A9, hasJunction, Sion junctions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sion junctions Context triple: [A9, hasJunction, Sion junctions]
-
A.
Junction
Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
-
B.
Junction 7
Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
-
C.
Junction 7
Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
-
D.
Junction 7
Junction 7 is a major motorway interchange on England’s M53, serving as a key access point between local roads and the wider regional network.
-
E.
Junction 2
Junction 2 is a numbered interchange on the M66 motorway in Greater Manchester, England, providing access between the motorway and local road networks.
- 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: Sion junctions Triple: [A9, hasJunction, Sion junctions]
Generated description
Sion junctions is a major road intersection complex in Mumbai, India, where several key arterial routes converge, including the A9 corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sion junctions Target entity description: Sion junctions is a major road intersection complex in Mumbai, India, where several key arterial routes converge, including the A9 corridor.
-
A.
Junction
Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
-
B.
Junction 7
Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
-
C.
Junction 7
Junction 7 is a major motorway interchange on England’s M53, serving as a key access point between local roads and the wider regional network.
-
D.
Junction 7
Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
-
E.
Junction 2
Junction 2 is a numbered interchange on the M66 motorway in Greater Manchester, England, providing access between the motorway and local road networks.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28f125481909664363904f4c031 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b399786c8190acbd188ab55b1fa0 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:22 a.m.