Triple
T192051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS |
E3741
|
entity |
| Predicate | versioningModel |
P5326
|
FINISHED |
| Object | modular specifications |
—
|
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: modular specifications | Statement: [CSS, versioningModel, modular specifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: versioningModel Context triple: [CSS, versioningModel, modular specifications]
-
A.
governanceModel
Indicates the type or structure of authority, decision-making, and control that defines how an entity is directed and overseen.
-
B.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
C.
secondFullVersionReference
Indicates that an entity refers to a second complete or fully detailed version of another entity.
-
D.
firstFullVersionReference
Indicates that one entity serves as the initial complete or fully realized version to which another entity refers or is linked.
-
E.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.