Triple
T25280458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Building Nothing Out of Something |
E633810
|
entity |
| Predicate | originalLabelLocation |
P45204
|
FINISHED |
| Object | Seattle, Washington |
—
|
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: Seattle, Washington | Statement: [Building Nothing Out of Something, originalLabelLocation, Seattle, Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLabelLocation Context triple: [Building Nothing Out of Something, originalLabelLocation, Seattle, Washington]
-
A.
originalLabel
Indicates the primary or initial label or name originally assigned to an entity before any changes or translations.
-
B.
labelLocation
chosen
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
C.
originalLocationStatus
Indicates the status or condition of an entity’s original location, such as whether it remains, has changed, or is otherwise affected.
-
D.
originalLocationType
Indicates the type or category of the place where something was originally located or came from.
-
E.
mapLabelPosition
Indicates the spatial or relative placement of a label on or around a map or mapped feature.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 21, 2026, 1:18 p.m.