Triple
T12516649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cmp |
E299205
|
entity |
| Predicate | manualPage |
P1468
|
FINISHED |
| Object | cmp(1) |
—
|
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: cmp(1) | Statement: [cmp, manualPage, cmp(1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manualPage Context triple: [cmp, manualPage, cmp(1)]
-
A.
organManuals
Indicates a relationship where specific manuals or keyboards belong to, are part of, or are associated with a particular organ instrument.
-
B.
pages
chosen
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
C.
hasManual
Indicates that an entity is associated with a manual that provides instructions or documentation for it.
-
D.
maneFunction
Indicates that an entity’s primary or central function, role, or purpose is being specified or described.
-
E.
pageE2
Indicates that one entity is the second page (or page-level element 2) associated with another entity, typically in an ordered sequence of pages.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.