Triple
T23483090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komisi X |
E570457
|
entity |
| Predicate | numberOfCommission |
P134486
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Komisi X, numberOfCommission, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommission Context triple: [Komisi X, numberOfCommission, 10]
-
A.
numberOfCommissions
chosen
Indicates the quantity of commissions associated with or assigned to a given entity.
-
B.
commissionsInto
Indicates that one entity formally authorizes or assigns another entity to create, produce, or enter into something (such as a work, role, or state).
-
C.
enzymeCommissionNumber
Indicates the specific Enzyme Commission (EC) classification number assigned to an enzyme, defining the type of chemical reaction it catalyzes.
-
D.
numberOfCommissioners
Indicates the specific count of commissioners associated with a given entity or context.
-
E.
commissionsAs
Indicates that one entity formally authorizes or hires another entity to create, perform, or carry out a specific work, task, or service.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a751e6a08190a42c36722275d5d3 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.