Triple
T10549871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyde Park campus |
E248918
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Botany Pond
Botany Pond is a small, picturesque ornamental pond and campus landmark located at the University of Chicago in Hyde Park.
|
E870195
|
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: Botany Pond | Statement: [Hyde Park campus, hasPart, Botany Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Botany Pond Context triple: [Hyde Park campus, hasPart, Botany Pond]
-
A.
Lotus Pond
Lotus Pond is a scenic lake and popular tourist attraction in Kaohsiung, Taiwan, known for its temples, pagodas, and lotus-covered waters.
-
B.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
C.
Turtle Pond
Turtle Pond is a small, tranquil body of water in New York City's Central Park known for its resident turtles and scenic views near Belvedere Castle.
-
D.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
-
E.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
- 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: Botany Pond Triple: [Hyde Park campus, hasPart, Botany Pond]
Generated description
Botany Pond is a small, picturesque ornamental pond and campus landmark located at the University of Chicago in Hyde Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Botany Pond Target entity description: Botany Pond is a small, picturesque ornamental pond and campus landmark located at the University of Chicago in Hyde Park.
-
A.
Lotus Pond
Lotus Pond is a scenic lake and popular tourist attraction in Kaohsiung, Taiwan, known for its temples, pagodas, and lotus-covered waters.
-
B.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
C.
Turtle Pond
Turtle Pond is a small, tranquil body of water in New York City's Central Park known for its resident turtles and scenic views near Belvedere Castle.
-
D.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
-
E.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d3e45c819099b360f9cfd3dd50 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:33 p.m.