Triple
T18121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wholly New Forms of Encyclopedias |
E357
|
entity |
| Predicate | critiques |
P170
|
FINISHED |
| Object | limitations of static reference works |
—
|
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: limitations of static reference works | Statement: [Wholly New Forms of Encyclopedias, critiques, limitations of static reference works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: critiques Context triple: [Wholly New Forms of Encyclopedias, critiques, limitations of static reference works]
-
A.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
B.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
C.
complements
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
-
D.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242494a548190a5776fb6cad4d4af |
completed | Feb. 28, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69a23fedf0fc8190ad99bd1da297b14d |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.