Triple
T18825233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Arlington, Massachusetts |
E460367
|
entity |
| Predicate | hasKeyLocation |
P18908
|
FINISHED |
| Object | Spy Pond |
—
|
NE NERFINISHED |
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: [History of Arlington, Massachusetts, hasKeyLocation, Spy Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spy Pond Context triple: [History of Arlington, Massachusetts, hasKeyLocation, 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.
Snake Pond
Snake Pond is a notable location featured in the classic Hong Kong martial arts film "Shaolin vs. Wu-Tang."
-
C.
Overgrown Pond
Overgrown Pond is a tranquil 19th-century landscape painting by Russian artist Vasily Polenov, celebrated for its lyrical depiction of nature and atmospheric light.
-
D.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
-
E.
Forge Pond
Forge Pond is a small freshwater lake located in the town of Canton, Massachusetts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.