Triple
T36711630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalorama Road NW |
E906807
|
entity |
| Predicate | isPartOfCityPlan |
P68711
|
FINISHED |
| Object | Washington, D.C. street grid |
—
|
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: Washington, D.C. street grid | Statement: [Kalorama Road NW, isPartOfCityPlan, Washington, D.C. street grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCityPlan Context triple: [Kalorama Road NW, isPartOfCityPlan, Washington, D.C. street grid]
-
A.
partOfCityPlan
chosen
Indicates that something is included as a component or element within a broader city planning scheme or framework.
-
B.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
C.
isPartOfTransportPlan
Indicates that something is included as a component or element within a broader transport plan.
-
D.
isPlannedCity
Indicates that a city has been deliberately designed and constructed according to a pre-established urban plan rather than developing organically over time.
-
E.
hasCityPlanningContext
Indicates that something is associated with, relevant to, or situated within a particular city planning context, such as urban development, zoning, or land-use planning.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:12 p.m.