Triple
T2980283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles River Park residential complex |
E80491
|
entity |
| Predicate | hasOpenSpaceType |
P5611
|
FINISHED |
| Object | private landscaped grounds |
—
|
LITERAL 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: private landscaped grounds | Statement: [Charles River Park residential complex, hasOpenSpaceType, private landscaped grounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenSpaceType Context triple: [Charles River Park residential complex, hasOpenSpaceType, private landscaped grounds]
-
A.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
B.
openSpaceType
chosen
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
C.
hasOpeningType
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
D.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999e91788190a2d430dd0600a660 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.