Triple
T15457293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hayes |
E371802
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Mill Lane
Mill Lane is a street in central Cardiff, Wales, known for its bars, restaurants, and pedestrian-friendly city-centre location.
|
E1543673
|
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: Mill Lane | Statement: [The Hayes, connectsTo, Mill Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mill Lane Context triple: [The Hayes, connectsTo, Mill Lane]
-
A.
Mill Lane
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
-
B.
Goyt’s Lane
Goyt’s Lane is a rural access road in the Goyt Valley in the Peak District, used by visitors to reach the valley’s reservoirs and surrounding moorland.
-
C.
Rood Lane
Rood Lane is a street in the City of London, England, located in the historic financial district near several notable churches and commercial buildings.
-
D.
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.
-
E.
Church Lane
Church Lane is a historic, picturesque street in the market town of Ledbury, England, known for its old buildings and traditional character.
- 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: Mill Lane Triple: [The Hayes, connectsTo, Mill Lane]
Generated description
Mill Lane is a street in central Cardiff, Wales, known for its bars, restaurants, and pedestrian-friendly city-centre location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mill Lane Target entity description: Mill Lane is a street in central Cardiff, Wales, known for its bars, restaurants, and pedestrian-friendly city-centre location.
-
A.
Mill Lane
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
-
B.
Goyt’s Lane
Goyt’s Lane is a rural access road in the Goyt Valley in the Peak District, used by visitors to reach the valley’s reservoirs and surrounding moorland.
-
C.
Rood Lane
Rood Lane is a street in the City of London, England, located in the historic financial district near several notable churches and commercial buildings.
-
D.
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.
-
E.
Church Lane
Church Lane is a historic, picturesque street in the market town of Ledbury, England, known for its old buildings and traditional character.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f146a2c8190882741af3ec15268 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d499de08190b0de4b4211936aec |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 10, 2026, 3:31 a.m.