Triple
T22650502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link (React Router) |
E559078
|
entity |
| Predicate | propReplace |
P149064
|
FINISHED |
| Object | replaces current history entry |
—
|
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: replaces current history entry | Statement: [Link (React Router), propReplace, replaces current history entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propReplace Context triple: [Link (React Router), propReplace, replaces current history entry]
-
A.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
-
B.
replacesWord
Indicates that one word is substituted for another word in a given context or expression.
-
C.
replacementProject
Indicates that one entity is a project intended to replace or supersede another entity or project.
-
D.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
E.
changesProperty
Indicates that one entity causes a change in a specific property or attribute of another entity.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:05 p.m.