Triple
T8086644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park |
E188749
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Turtle Pond |
E42772
|
NE FINISHED |
How this triple was built (2 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: Turtle Pond | Statement: [Central Park, hasPart, Turtle Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turtle Pond Context triple: [Central Park, hasPart, Turtle Pond]
-
A.
Turtle Pond
chosen
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.
-
B.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
-
C.
Willow Pond
Willow Pond is a scenic body of water in Olmsted Park, known for its tranquil setting and surrounding natural landscape.
-
D.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
-
E.
Sand Pond
Sand Pond is a small freshwater lake located near the town of Norway in western Maine, known for its quiet, scenic setting and recreational use.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4160e4748190ae63624a2a03d09f |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd342a5fb88190b9225ba50e2124b8 |
completed | April 1, 2026, 3:05 p.m. |
Created at: March 30, 2026, 5:29 p.m.