Triple
T19211313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq LTE series |
E480362
|
entity |
| Predicate | popularization |
P2352
|
FINISHED |
| Object | modern laptop form factor |
—
|
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: modern laptop form factor | Statement: [Compaq LTE series, popularization, modern laptop form factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularization Context triple: [Compaq LTE series, popularization, modern laptop form factor]
-
A.
popularDescription
Indicates that an entity has a commonly used or widely recognized descriptive text or label associated with it.
-
B.
popular
Indicates that an entity is widely liked, admired, or favored by many people compared to alternatives.
-
C.
popularizedIn
chosen
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
D.
popularizedBy
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
E.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa365c2481909b3c36ebae18265d |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:21 p.m.