Triple
T24494527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake regional recreation areas |
E617745
|
entity |
| Predicate | locatedAtOrAround |
P91034
|
FINISHED |
| Object | Silver Lake (Kingston, Massachusetts) |
—
|
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: Silver Lake (Kingston, Massachusetts) | Statement: [Silver Lake regional recreation areas, locatedAtOrAround, Silver Lake (Kingston, Massachusetts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtOrAround Context triple: [Silver Lake regional recreation areas, locatedAtOrAround, Silver Lake (Kingston, Massachusetts)]
-
A.
oftenLocatedNear
Indicates that one entity is frequently found in close physical proximity to another entity.
-
B.
locatedInOrAdjacentTo
Indicates that one entity is either situated within the boundaries of another entity or directly next to it, sharing a common border or edge.
-
C.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
D.
oftenLocatedAt
chosen
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- F. None of above.
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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.