Triple
T1424939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystic River watershed |
E30307
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Spy Pond |
E84166
|
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: Spy Pond | Statement: [Mystic River watershed, contains, Spy Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spy Pond Context triple: [Mystic River watershed, contains, Spy Pond]
-
A.
Spy Pond
chosen
Spy Pond is a scenic freshwater pond in Arlington, Massachusetts, known for its recreational activities and wildlife habitat.
-
B.
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.
-
C.
Willow Pond
Willow Pond is a scenic body of water in Olmsted Park, known for its tranquil setting and surrounding natural landscape.
-
D.
Poucha Pond
Poucha Pond is a small tidal pond on Chappaquiddick Island in Massachusetts, best known as the site of the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
-
E.
The Pond
"The Pond" is a painting by British artist L. S. Lowry, depicting an industrial urban scene in his distinctive naïve style populated by matchstick-like figures.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bd59148190b96f9f585e07aa0d |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad01646fd481909fcd92a1cc027fa2 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.