Triple
T1531640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refactoring: Improving the Design of Existing Code |
E32454
|
entity |
| Predicate | secondEditionFocus |
P29902
|
FINISHED |
| Object | JavaScript examples |
—
|
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: JavaScript examples | Statement: [Refactoring: Improving the Design of Existing Code, secondEditionFocus, JavaScript examples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionFocus Context triple: [Refactoring: Improving the Design of Existing Code, secondEditionFocus, JavaScript examples]
-
A.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
B.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
C.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
D.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
-
E.
secondWork
Indicates that one work is the second in order relative to another work within a sequence or set.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.