Triple
T8086626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park |
E188749
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Reservoir |
E41589
|
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: The Reservoir | Statement: [Central Park, hasPart, The Reservoir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Reservoir Context triple: [Central Park, hasPart, The Reservoir]
-
A.
The Reservoir
chosen
The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
-
B.
Mill Basin
Mill Basin is a residential neighborhood and inlet area in southeastern Brooklyn, New York City, known for its waterfront homes along Jamaica Bay.
-
C.
Stanley Reservoir
Stanley Reservoir is a large artificial lake in Tamil Nadu, India, created on the Kaveri River and known for its role in irrigation, hydroelectric power generation, and water supply.
-
D.
Otis Reservoir
Otis Reservoir is a large recreational lake in western Massachusetts known for boating, fishing, and lakeside vacation homes.
-
E.
Patterson Reservoir
Patterson Reservoir is a water storage facility in California that forms part of the State Water Project’s South Bay Aqueduct system.
- 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_69ccbe81763881909e2e67bb56f2aa83 |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:29 p.m.