Triple
T9051251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quan họ |
E216886
|
entity |
| Predicate | repertoireSize |
P10577
|
FINISHED |
| Object | hundreds of songs |
—
|
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: hundreds of songs | Statement: [Quan họ, repertoireSize, hundreds of songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repertoireSize Context triple: [Quan họ, repertoireSize, hundreds of songs]
-
A.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
B.
publicRepertoireStatus
Indicates that an entity’s repertoire or collection is designated as publicly visible or accessible rather than private or restricted.
-
C.
repertoireLanguage
Indicates that the associated entity’s repertoire (e.g., works, performances, or outputs) is expressed or available in a particular language.
-
D.
numberOfSongs
chosen
Indicates the quantity of songs associated with a given entity.
-
E.
numberOfKnownRecordings
Indicates the total count of recordings of an entity that are currently known or documented.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.