Triple
T18942036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merriweather Post Pavilion |
E463405
|
entity |
| Predicate | hasLawnCapacityApprox |
P22556
|
FINISHED |
| Object | 10000 |
—
|
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: 10000 | Statement: [Merriweather Post Pavilion, hasLawnCapacityApprox, 10000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLawnCapacityApprox Context triple: [Merriweather Post Pavilion, hasLawnCapacityApprox, 10000]
-
A.
lawnCapacity
chosen
Indicates the maximum number of entities that can be accommodated or present on a given lawn at one time.
-
B.
hasLandscaping
Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
-
C.
hasNumberOfAcres
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
D.
hasYard
Indicates that one entity possesses or includes a yard as part of its property or premises.
-
E.
typicalHomeCapacity
Indicates the usual or standard number of occupants that a home is designed or expected to accommodate.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ec857081908da0f974604f2c65 |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.