Triple
T8666348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burin Peninsula |
E205683
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lawn
Lawn is a small coastal town located on the Burin Peninsula of Newfoundland and Labrador, Canada.
|
E749420
|
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: Lawn | Statement: [Burin Peninsula, hasSettlement, Lawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawn Context triple: [Burin Peninsula, hasSettlement, Lawn]
-
A.
The Lawn
The Lawn is the historic, colonnaded central quadrangle of the University of Virginia, designed by Thomas Jefferson as the heart of his Academical Village.
-
B.
Grass
Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
-
C.
Trávniky
Trávniky is a residential neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
D.
Great Lawn
The Great Lawn is a large, iconic open green space in the heart of New York City's Central Park, popular for picnics, recreation, and major public events and concerts.
-
E.
Great Lawn
Great Lawn is a large open green space within Lansdowne Park in Ottawa, commonly used for recreation, events, and community gatherings.
- 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: Lawn Triple: [Burin Peninsula, hasSettlement, Lawn]
Generated description
Lawn is a small coastal town located on the Burin Peninsula of Newfoundland and Labrador, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawn Target entity description: Lawn is a small coastal town located on the Burin Peninsula of Newfoundland and Labrador, Canada.
-
A.
The Lawn
The Lawn is the historic, colonnaded central quadrangle of the University of Virginia, designed by Thomas Jefferson as the heart of his Academical Village.
-
B.
Grass
Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
-
C.
Trávniky
Trávniky is a residential neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
D.
Great Lawn
The Great Lawn is a large, iconic open green space in the heart of New York City's Central Park, popular for picnics, recreation, and major public events and concerts.
-
E.
Great Lawn
Great Lawn is a large open green space within Lansdowne Park in Ottawa, commonly used for recreation, events, and community gatherings.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a1dd1481908c56abca48fcd562 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1592788190a882fb7218f95807 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8e5afc8190912b6eb9c80dd073 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf8ee4f48190bb901e35ade91b6c |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:31 p.m.