Triple
T10001816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merritt Parkway |
E197344
|
entity |
| Predicate | hasMedianType |
P38669
|
FINISHED |
| Object | grass median |
—
|
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: grass median | Statement: [Merritt Parkway, hasMedianType, grass median]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedianType Context triple: [Merritt Parkway, hasMedianType, grass median]
-
A.
hasMedianUse
Indicates that something is associated with a typical or middle level of use within a given range or distribution of usage.
-
B.
medianType
chosen
Indicates the type or form of a median used in a given context, such as in statistics, geometry, or transportation.
-
C.
medianEquals
Indicates that the median value of a given set or sequence is equal to a specified value.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc9078788190a4e75dd7ff830c63 |
completed | April 2, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.