Triple
T2936045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junction 7 of M60 motorway |
E79269
|
entity |
| Predicate | hasRoadNumber |
P1864
|
FINISHED |
| Object |
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
|
E311521
|
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: J7 | Statement: [Junction 7 of M60 motorway, hasRoadNumber, J7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J7 Context triple: [Junction 7 of M60 motorway, hasRoadNumber, J7]
-
A.
J80
J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
-
B.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
-
C.
JST
JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
-
D.
JL
JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
-
E.
J
J is one of the passenger concourses at Miami International Airport, serving as a terminal area with gates, amenities, and airline operations for departing and arriving flights.
- 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: J7 Triple: [Junction 7 of M60 motorway, hasRoadNumber, J7]
Generated description
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J7 Target entity description: J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
-
A.
J80
J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
-
B.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
-
C.
JST
JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
-
D.
JL
JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
-
E.
J
J is one of the passenger concourses at Miami International Airport, serving as a terminal area with gates, amenities, and airline operations for departing and arriving flights.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983df5e08190939cd8acf8ad5b55 |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867edf3481909c5fa9d02c5f11b3 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d66e4c188190a6f41593884080e8 |
completed | March 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6abef8c81908d593c39e3824c77 |
completed | March 11, 2026, 2:42 a.m. |
Created at: March 8, 2026, 2:56 p.m.