Triple
T11662406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Street, Gibraltar |
E277154
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Market Lane
Market Lane is a small side street in Gibraltar’s town center that connects to the main commercial thoroughfare, Main Street.
|
E1141894
|
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: Market Lane | Statement: [Main Street, Gibraltar, hasJunctionWith, Market Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Market Lane Context triple: [Main Street, Gibraltar, hasJunctionWith, Market Lane]
-
A.
Marsh Lane
Marsh Lane was the original name of what is now Northumberland Park railway station in north London.
-
B.
Queen’s Lane
Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
-
C.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
D.
Long Lane
Long Lane is a street in the London Borough of Southwark, forming part of the historic road network south of the River Thames.
-
E.
Mill Lane
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
- 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: Market Lane Triple: [Main Street, Gibraltar, hasJunctionWith, Market Lane]
Generated description
Market Lane is a small side street in Gibraltar’s town center that connects to the main commercial thoroughfare, Main Street.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Market Lane Target entity description: Market Lane is a small side street in Gibraltar’s town center that connects to the main commercial thoroughfare, Main Street.
-
A.
Marsh Lane
Marsh Lane was the original name of what is now Northumberland Park railway station in north London.
-
B.
Queen’s Lane
Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
-
C.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
D.
Long Lane
Long Lane is a street in the London Borough of Southwark, forming part of the historic road network south of the River Thames.
-
E.
Mill Lane
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec869957481909ea4fded01851b70 |
completed | May 9, 2026, 5:38 a.m. |
| NEDg | Description generation | batch_69feca4643dc8190af82f6c2f9133e2a |
completed | May 9, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecb0459008190888043ab25bae96b |
completed | May 9, 2026, 5:49 a.m. |
Created at: April 8, 2026, 9:39 p.m.