Triple
T7815443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Conservatory of Music |
E180995
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CCOM
CCOM is the abbreviated name of the Central Conservatory of Music, a leading music education institution in China.
|
E694790
|
NE FINISHED |
How this triple was built (4 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: CCOM | Statement: [Central Conservatory of Music, shortName, CCOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCOM Context triple: [Central Conservatory of Music, shortName, CCOM]
-
A.
mcom
mcom is the OAI-PMH repository identifier used for the journal "Mathematics of Computation," a leading peer-reviewed publication in numerical analysis and computational mathematics.
-
B.
CCA
CCA is the highest state court in Texas for criminal cases, serving as the court of last resort for all criminal matters in the state.
-
C.
CCA
CCA is the commonly used abbreviation for the Canada Council for the Arts, Canada’s national public arts funding and advocacy agency.
-
D.
CCA
CCA is the ICAO airline designator used to identify Air China in international aviation operations.
-
E.
COMP
COMP is a scientific committee within the European Medicines Agency responsible for evaluating and advising on orphan medicinal products for rare diseases in the European Union.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CCOM Triple: [Central Conservatory of Music, shortName, CCOM]
Generated description
CCOM is the abbreviated name of the Central Conservatory of Music, a leading music education institution in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CCOM Target entity description: CCOM is the abbreviated name of the Central Conservatory of Music, a leading music education institution in China.
-
A.
mcom
mcom is the OAI-PMH repository identifier used for the journal "Mathematics of Computation," a leading peer-reviewed publication in numerical analysis and computational mathematics.
-
B.
CCA
CCA is the ICAO airline designator used to identify Air China in international aviation operations.
-
C.
CCA
CCA is the highest state court in Texas for criminal cases, serving as the court of last resort for all criminal matters in the state.
-
D.
CCA
CCA is the commonly used abbreviation for the Canada Council for the Arts, Canada’s national public arts funding and advocacy agency.
-
E.
COMP
COMP is a scientific committee within the European Medicines Agency responsible for evaluating and advising on orphan medicinal products for rare diseases in the European Union.
- F. None of above. chosen
Provenance (5 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb147d965881908003551710a1bbff |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a56d25881908b8413b82edf5508 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:39 p.m.