Triple
T30076193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbling Tacks |
E764325
|
entity |
| Predicate | scaleComparedToRealObject |
P168415
|
FINISHED |
| Object | monumental |
—
|
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: monumental | Statement: [Tumbling Tacks, scaleComparedToRealObject, monumental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleComparedToRealObject Context triple: [Tumbling Tacks, scaleComparedToRealObject, monumental]
-
A.
scaleComparison
Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
-
B.
scaleRelativeToGulliver
Indicates how the size or scale of an entity compares relative to Gulliver.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
scaleModelOf
Indicates that one entity is a scaled representation (larger or smaller but proportionally accurate) of another entity.
-
E.
plateScale
Indicates the scale factor that converts distances measured on a photographic or detector plate into corresponding angular or physical distances in the observed scene.
- F. None of above. chosen
Provenance (4 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d3da1608190aaf738cc69b73c26 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:02 p.m.