Triple
T10184473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber Music |
E236871
|
entity |
| Predicate | isCollectedIn |
P92579
|
FINISHED |
| Object | various editions of James Joyce’s works |
—
|
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: various editions of James Joyce’s works | Statement: [Chamber Music, isCollectedIn, various editions of James Joyce’s works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollectedIn Context triple: [Chamber Music, isCollectedIn, various editions of James Joyce’s works]
-
A.
collectedSpecimensIn
Indicates that an entity gathered or obtained specimens within a specified location or context.
-
B.
fieldOfCollection
Indicates the academic or subject area to which a collection or set of collected items belongs.
-
C.
traditionallyCollectedAs
Indicates that something has been customarily or historically gathered or obtained in a particular way or context according to tradition.
-
D.
collectingArea
Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
-
E.
hasCountryOfCollection
Indicates the country in which an item, specimen, or object was collected.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3566f881909e0d1366f501d554 |
completed | April 2, 2026, 4:14 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:12 p.m.