Triple
T10213386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KM Music Conservatory |
E242383
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
KMMC
KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
|
E849946
|
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: KMMC | Statement: [KM Music Conservatory, hasAlternativeName, KMMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMMC Context triple: [KM Music Conservatory, hasAlternativeName, KMMC]
-
A.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
B.
KMC
KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
-
C.
KMCB
KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
-
D.
KMMV
KMMV is the ICAO airport code for McMinnville Municipal Airport, a public airport serving McMinnville in Yamhill County, Oregon, United States.
-
E.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
- 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: KMMC Triple: [KM Music Conservatory, hasAlternativeName, KMMC]
Generated description
KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMMC Target entity description: KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
-
A.
KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
-
B.
KMC
KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
-
C.
KMCB
KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
-
D.
KMMV
KMMV is the ICAO airport code for McMinnville Municipal Airport, a public airport serving McMinnville in Yamhill County, Oregon, United States.
-
E.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d657818b008190a24170717cff53b9 |
completed | April 8, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d65835a11c819083d069ab0f644d4c |
completed | April 8, 2026, 1:29 p.m. |
Created at: April 6, 2026, 11:03 a.m.