Triple
T7249948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowtown |
E156571
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object |
Holly Lane
Holly Lane is a local road in the village of Rowtown in Surrey, England, serving residential and community areas.
|
E691994
|
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: Holly Lane | Statement: [Rowtown, hasRoad, Holly Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holly Lane Context triple: [Rowtown, hasRoad, Holly Lane]
-
A.
Meadow Lane
Meadow Lane is a historic football stadium in Nottingham, England, best known as the long-time home ground of Notts County F.C.
-
B.
Rosemary Lane
Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
-
C.
Rye Lane
Rye Lane is a bustling commercial street in Peckham, South London, known for its vibrant markets, diverse shops, and lively cultural scene.
-
D.
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.
-
E.
Sisotowbell Lane
"Sisotowbell Lane" is a gentle, whimsical folk song by Joni Mitchell from her 1968 debut album "Song to a Seagull."
- 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: Holly Lane Triple: [Rowtown, hasRoad, Holly Lane]
Generated description
Holly Lane is a local road in the village of Rowtown in Surrey, England, serving residential and community areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holly Lane Target entity description: Holly Lane is a local road in the village of Rowtown in Surrey, England, serving residential and community areas.
-
A.
Meadow Lane
Meadow Lane is a historic football stadium in Nottingham, England, best known as the long-time home ground of Notts County F.C.
-
B.
Rosemary Lane
Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
-
C.
Rye Lane
Rye Lane is a bustling commercial street in Peckham, South London, known for its vibrant markets, diverse shops, and lively cultural scene.
-
D.
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.
-
E.
Sisotowbell Lane
"Sisotowbell Lane" is a gentle, whimsical folk song by Joni Mitchell from her 1968 debut album "Song to a Seagull."
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea77a3588190accf31860170f052 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cd7f9b2c81908a1f77a9cc37a0be |
completed | March 30, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_69c9ce2791d88190bc48f237e134e7a9 |
completed | March 30, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9ce745fdc8190843c4d48722fb263 |
completed | March 30, 2026, 1:14 a.m. |
Created at: March 27, 2026, 2:56 p.m.