Triple
T2361562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston urban core |
E47284
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
North End
North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
|
E259726
|
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: North End | Statement: [Boston urban core, hasPart, North End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North End Context triple: [Boston urban core, hasPart, North End]
-
A.
North End
North End is a predominantly residential and historically working-class neighborhood located in the northern section of Hartford, Connecticut.
-
B.
South End
South End is a historic, predominantly residential neighborhood in Hartford, Connecticut, known for its strong Italian-American heritage and local eateries.
-
C.
South End
South End is a historic Boston neighborhood known for its Victorian brownstone architecture, diverse community, and vibrant arts and dining scene.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
- 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: North End Triple: [Boston urban core, hasPart, North End]
Generated description
North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: North End Target entity description: North End is a historic waterfront neighborhood in Boston known for its Italian-American culture, narrow streets, and notable Revolutionary-era sites.
-
A.
North End
North End is a predominantly residential and historically working-class neighborhood located in the northern section of Hartford, Connecticut.
-
B.
South End
South End is a historic, predominantly residential neighborhood in Hartford, Connecticut, known for its strong Italian-American heritage and local eateries.
-
C.
South End
South End is a historic Boston neighborhood known for its Victorian brownstone architecture, diverse community, and vibrant arts and dining scene.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Nordend
Nordend is one of the main summits of the Monte Rosa massif in the Pennine Alps, known as one of the highest peaks in Switzerland.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc723c66481908a9b94991f651b3b |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea88cf3308190bdb5aac38aded823 |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aea91ce164819091aa24b287f9fb8e |
completed | March 9, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aea999b864819084134c670e7c5d9c |
completed | March 9, 2026, 11:06 a.m. |
Created at: March 4, 2026, 7:55 p.m.