Triple
T11717304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrapunctus V |
E278531
|
entity |
| Predicate | hasWorkNumberWithinCycle |
P78753
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Contrapunctus V, hasWorkNumberWithinCycle, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkNumberWithinCycle Context triple: [Contrapunctus V, hasWorkNumberWithinCycle, 5]
-
A.
hasNumberWithinWork
Indicates that a specific number or numeric value is contained, referenced, or used within a particular work (such as a document, publication, or creative piece).
-
B.
hasWorkPeriod
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
-
C.
workBelongsToCycle
chosen
Indicates that a specific work is associated with, and forms part of, a larger cycle or series.
-
D.
hasWorkCount
Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
-
E.
hasActivityCycle
Indicates that an entity exhibits a recurring pattern or cycle of activity over time.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.