Triple
T14205440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colgate Thirteen |
E352080
|
entity |
| Predicate | ensembleSizeCharacteristic |
P83535
|
FINISHED |
| Object | small vocal ensemble |
—
|
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: small vocal ensemble | Statement: [Colgate Thirteen, ensembleSizeCharacteristic, small vocal ensemble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ensembleSizeCharacteristic Context triple: [Colgate Thirteen, ensembleSizeCharacteristic, small vocal ensemble]
-
A.
ensembleSize
chosen
Indicates the number of individual members or participants that make up a given group or ensemble.
-
B.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
C.
distributionSize
Indicates the quantity or scale of items or units included in a particular distribution.
-
D.
petitionSize
Indicates the number of signatures or participants associated with a given petition.
-
E.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f6d4d481909128084e82e6a58a |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:05 a.m.