Triple
T17028836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Road Leytonstone |
E413136
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Harrow Green
Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
|
E1246826
|
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: Harrow Green | Statement: [High Road Leytonstone, hasJunctionWith, Harrow Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrow Green Context triple: [High Road Leytonstone, hasJunctionWith, Harrow Green]
-
A.
Harrow East
Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
-
B.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
C.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
D.
North Harrow
North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
-
E.
West Harrow
West Harrow is a suburban residential area in northwest London, known for its local park, conservation area streets, and access to central London via the Metropolitan line.
- 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: Harrow Green Triple: [High Road Leytonstone, hasJunctionWith, Harrow Green]
Generated description
Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harrow Green Target entity description: Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
-
A.
Harrow East
Harrow East is a UK parliamentary constituency in northwest London, covering part of the suburban area within the London Borough of Harrow.
-
B.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
C.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
D.
North Harrow
North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
-
E.
West Harrow
West Harrow is a suburban residential area in northwest London, known for its local park, conservation area streets, and access to central London via the Metropolitan line.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d858448190acfe81f10d83ed4b |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b553c588190b46785b85142dce5 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011d2651e88190b6a57fa11e29bb21 |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d99a038819086924a1b2af55967 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 10, 2026, 5:33 a.m.