Triple
T4979013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North of Boston |
E111836
|
entity |
| Predicate | containsPoem |
P21160
|
FINISHED |
| Object |
Blueberries
"Blueberries" is a poem by Robert Frost that vividly portrays rural life and the labor of berry-picking in New England.
|
E485274
|
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: Blueberries | Statement: [North of Boston, containsPoem, Blueberries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blueberries Context triple: [North of Boston, containsPoem, Blueberries]
-
A.
Blueberry
Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
-
B.
Highbush
Highbush is a residential neighbourhood located in the city of Pickering, Ontario, Canada.
-
C.
Berry
Berry is a small historic town on the South Coast of New South Wales, Australia, known for its rural charm, heritage buildings, and popular weekend tourism.
-
D.
Berry
Berry is a historic province in central France known for its rural landscapes, medieval heritage, and traditional French culture.
-
E.
Berry
Berry is a common English surname borne by numerous individuals across various fields, including sports, politics, and the arts.
- 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: Blueberries Triple: [North of Boston, containsPoem, Blueberries]
Generated description
"Blueberries" is a poem by Robert Frost that vividly portrays rural life and the labor of berry-picking in New England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blueberries Target entity description: "Blueberries" is a poem by Robert Frost that vividly portrays rural life and the labor of berry-picking in New England.
-
A.
Blueberry
Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
-
B.
Highbush
Highbush is a residential neighbourhood located in the city of Pickering, Ontario, Canada.
-
C.
Berry
Berry is a historic province in central France known for its rural landscapes, medieval heritage, and traditional French culture.
-
D.
Berry
Berry is a small historic town on the South Coast of New South Wales, Australia, known for its rural charm, heritage buildings, and popular weekend tourism.
-
E.
Berry
Berry is a common English surname borne by numerous individuals across various fields, including sports, politics, and the arts.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd723418e881908f1e43b1be0a2f17 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0ac8d48190b9d050e26b67a794 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8d747c40819098ac5d475d60ab46 |
completed | March 21, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8df7ab9c8190b1af6e32f0f33b30 |
completed | March 21, 2026, 12:24 p.m. |
Created at: March 20, 2026, 1:33 p.m.