Triple
T29443824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSEC3PARAM |
E746789
|
entity |
| Predicate | hasMnemonic |
P167185
|
FINISHED |
| Object | NSEC3PARAM |
—
|
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: NSEC3PARAM | Statement: [NSEC3PARAM, hasMnemonic, NSEC3PARAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMnemonic Context triple: [NSEC3PARAM, hasMnemonic, NSEC3PARAM]
-
A.
hasShortcut
Indicates that one entity serves as a shortcut or quick-access link to another entity.
-
B.
hasShortcuts
Indicates that an entity provides or supports shortcut actions or quick-access commands to perform operations more efficiently.
-
C.
hasCharacterFocus
Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
-
D.
hasKeyAct
Indicates that one entity possesses or is associated with a primary or central action related to another entity.
-
E.
hasAccelerator
Indicates that one entity possesses or is equipped with an accelerator device or mechanism used to increase speed or energy.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1f46cc8190aeed9e77976f5cd1 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:25 p.m.