Triple
T32568225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Avenue SW |
E832431
|
entity |
| Predicate | hasLEnfantPlanOrigin |
P88446
|
FINISHED |
| Object | L'Enfant Plan street system of Washington, D.C. |
—
|
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: L'Enfant Plan street system of Washington, D.C. | Statement: [Virginia Avenue SW, hasLEnfantPlanOrigin, L'Enfant Plan street system of Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLEnfantPlanOrigin Context triple: [Virginia Avenue SW, hasLEnfantPlanOrigin, L'Enfant Plan street system of Washington, D.C.]
-
A.
hasPlanningOrigin
chosen
Indicates that something originates from, or is derived from, a particular planning process, plan, or planning context.
-
B.
hasMotherOrigin
Indicates that an entity’s origin, source, or lineage is derived from or attributed to a mother entity.
-
C.
hasSettingOfOrigin
Indicates that something originates from, or was initially set in, a particular setting or environment.
-
D.
hasRelatedPlan
Indicates that one entity is associated with another entity through a plan that is relevant or connected to it.
-
E.
hasChildCare
Indicates that an entity provides, offers, or is associated with child care services or facilities for children.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 1, 2026, 1:03 a.m.