Triple
T780601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace |
E16487
|
entity |
| Predicate | hasVolumeRange |
P12465
|
FINISHED |
| Object | 68 U.S. to 90 U.S. |
—
|
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: 68 U.S. to 90 U.S. | Statement: [Wallace, hasVolumeRange, 68 U.S. to 90 U.S.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolumeRange Context triple: [Wallace, hasVolumeRange, 68 U.S. to 90 U.S.]
-
A.
includesSizeRange
chosen
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
B.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
C.
hasExposedVolume
Indicates that a volume or space is open or exposed to its surroundings rather than fully enclosed or covered.
-
D.
isBoundVolumeSeries
Indicates that one entity is a series composed of multiple bound volumes that are physically or conceptually grouped together.
-
E.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.