Triple
T33533472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Workroom |
E858857
|
entity |
| Predicate | ceilingSupportSystem |
P177077
|
FINISHED |
| Object | dendriform mushroom columns |
—
|
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: dendriform mushroom columns | Statement: [Great Workroom, ceilingSupportSystem, dendriform mushroom columns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingSupportSystem Context triple: [Great Workroom, ceilingSupportSystem, dendriform mushroom columns]
-
A.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
-
B.
ceilingInstallation
Indicates that an entity is involved in the installation or mounting of another entity onto or into a ceiling.
-
C.
ceilingMaterial
Indicates the material from which a ceiling is constructed or finished.
-
D.
balconySupport
Indicates that one entity structurally supports or helps to hold up a balcony associated with another entity.
-
E.
chamberSupportedBy
Indicates that a chamber is physically held up, carried, or structurally sustained by another object or structure.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.