Triple
T13846196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgware |
E332811
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object |
High Street
High Street is the main commercial and shopping thoroughfare running through the suburban district of Edgware in northwest London.
|
E1409448
|
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: High Street | Statement: [Edgware, hasRoad, High Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Street Context triple: [Edgware, hasRoad, High Street]
-
A.
High Street
High Street is a central thoroughfare in New Haven, Connecticut, running alongside Yale University's Old Campus and lined with historic academic and civic buildings.
-
B.
High Street
High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
-
C.
High Street
High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
-
D.
High Street
High Street is a primary commercial and thoroughfare road running through Medford Square in Medford, Massachusetts.
-
E.
High Street
High Street is the main commercial and social thoroughfare in the village of Hawkhurst, Kent, lined with shops, services, and local amenities.
- 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: High Street Triple: [Edgware, hasRoad, High Street]
Generated description
High Street is the main commercial and shopping thoroughfare running through the suburban district of Edgware in northwest London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: High Street Target entity description: High Street is the main commercial and shopping thoroughfare running through the suburban district of Edgware in northwest London.
-
A.
High Street
High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
-
B.
High Street
High Street is the main commercial and historic thoroughfare running through the town of Stony Stratford in Buckinghamshire, England.
-
C.
High Street
High Street is a principal shopping and pedestrian thoroughfare in Birmingham city centre, known for its retail outlets and central location.
-
D.
High Street
High Street is the main commercial and social thoroughfare in the village of Hawkhurst, Kent, lined with shops, services, and local amenities.
-
E.
High Street
High Street is a central shopping and commercial street in Nottingham, England, located near the city's Old Market Square.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815e456ec8190986280b85fc017c7 |
completed | May 16, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_6a081a539a7c819089d8a308102e7d20 |
completed | May 16, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081ab0e7208190b6020f9f9974084b |
completed | May 16, 2026, 7:20 a.m. |
Created at: April 9, 2026, 10:13 p.m.