Triple
T27841955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Street entrance |
E703704
|
entity |
| Predicate | locatedOnSideFacing |
P86049
|
FINISHED |
| Object | Duke Street |
—
|
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: Duke Street | Statement: [Duke Street entrance, locatedOnSideFacing, Duke Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideFacing Context triple: [Duke Street entrance, locatedOnSideFacing, Duke Street]
-
A.
situatedOnSideOf
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
B.
locatedOnFront
Indicates that one entity is positioned on the front side or face of another entity.
-
C.
locationSide
Indicates that one entity is positioned on a particular side (e.g., left, right, front, back) relative to another entity or reference point.
-
D.
onSide
chosen
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
E.
focusesOnSide
Indicates that an action, attention, or analysis is directed specifically toward one particular side or aspect of something.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 27, 2026, 6:03 p.m.