Triple
T1628752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penetrable |
E35205
|
entity |
| Predicate | displayMode |
P30377
|
FINISHED |
| Object | suspended from ceiling |
—
|
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: suspended from ceiling | Statement: [Penetrable, displayMode, suspended from ceiling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayMode Context triple: [Penetrable, displayMode, suspended from ceiling]
-
A.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
B.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
C.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
D.
displayRule
Indicates the rule or condition that determines how something should be visually presented or displayed.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94319becc819089c2daf45fe08a0c |
completed | March 5, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:28 p.m.