Triple
T36978194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot FriXion |
E914752
|
entity |
| Predicate | hasTipSizeOption |
P196609
|
FINISHED |
| Object | 0.5 mm |
—
|
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: 0.5 mm | Statement: [Pilot FriXion, hasTipSizeOption, 0.5 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTipSizeOption Context triple: [Pilot FriXion, hasTipSizeOption, 0.5 mm]
-
A.
hasLargerRadiusOption
Indicates that one entity offers an alternative whose radius is larger than that of another option.
-
B.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
C.
hasScaleSize
Indicates that one entity possesses a scale characterized by a particular size or magnitude in relation to another entity or value.
-
D.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
E.
hasTopScreenSize
Indicates that an entity (typically a device) possesses a top screen with a specified size or dimension.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
| PDg | Predicate description generation | batch_69fe5d580d7c819097cb18d438b01d08 |
completed | May 8, 2026, 10:02 p.m. |
Created at: May 3, 2026, 4:14 p.m.