Triple
T10760075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stilt |
E253801
|
entity |
| Predicate | hasHeightAssociation |
P9788
|
FINISHED |
| Object | over seven feet tall |
—
|
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: over seven feet tall | Statement: [The Stilt, hasHeightAssociation, over seven feet tall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeightAssociation Context triple: [The Stilt, hasHeightAssociation, over seven feet tall]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
hasScaleHeight
Indicates the characteristic vertical distance over which a quantity (such as pressure, density, or concentration) decreases by a fixed factor in a stratified medium.
-
C.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
-
D.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
E.
hasAssociatedPosition
Indicates that one entity is linked to a specific role, job, or spatial/organizational position associated with it.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a14c7481909c6f4f9b15dc130f |
completed | April 9, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.