Triple
T23049090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morske orgulje |
E573957
|
entity |
| Predicate | numberOfSoundOpenings |
P150782
|
FINISHED |
| Object | 35 |
—
|
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: 35 | Statement: [Morske orgulje, numberOfSoundOpenings, 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSoundOpenings Context triple: [Morske orgulje, numberOfSoundOpenings, 35]
-
A.
numberOfOpenings
Indicates the quantity of available positions, slots, or opportunities currently open in a given context.
-
B.
openingThemeCount
Indicates the number of distinct opening themes associated with an entity (such as a series, season, or show).
-
C.
isOpeningNumberOf
Indicates that something serves as the first or initial item in the numbered sequence of another entity.
-
D.
numberOfInstruments
Indicates the quantitative count of instruments associated with or involved in a given entity or event.
-
E.
numberOfKnownRecordings
Indicates the total count of recordings of an entity that are currently known or documented.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:54 p.m.